Warning: Permanently added '54.160.250.67' (ED25519) to the list of known hosts. You can reproduce this build on your computer by running: sudo dnf install copr-rpmbuild /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/7975920-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64 Version: 0.73 PID: 7398 Logging PID: 7399 Task: {'allow_user_ssh': False, 'appstream': False, 'background': False, 'bootstrap': 'off', 'build_id': 7975920, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '176e71cf740078b84486a946e82ad4e27a4db134', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'R-CRAN-adelie', 'package_version': '1.0.2-1.copr7975920', 'project_dirname': 'cran', 'project_name': 'cran', 'project_owner': 'iucar', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/iucar/cran/fedora-rawhide-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'iucar/cran--iucar', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'submitter': 'iucar', 'tags': [], 'task_id': '7975920-fedora-rawhide-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie /var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/iucar/cran/R-CRAN-adelie', '/var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie'... Running: git checkout 176e71cf740078b84486a946e82ad4e27a4db134 -- cmd: ['git', 'checkout', '176e71cf740078b84486a946e82ad4e27a4db134', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie rc: 0 stdout: stderr: Note: switching to '176e71cf740078b84486a946e82ad4e27a4db134'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at 176e71c automatic import of R-CRAN-adelie Running: copr-distgit-client sources cmd: ['copr-distgit-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading adelie_1.0.2.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o adelie_1.0.2.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/iucar/cran/R-CRAN-adelie/adelie_1.0.2.tar.gz/md5/abca9084597c1802b35dd735760eeee3/adelie_1.0.2.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 840k 100 840k 0 0 39.6M 0 --:--:-- --:--:-- --:--:-- 41.0M INFO: Reading stdout from command: md5sum adelie_1.0.2.tar.gz /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1725413460.952011 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.6 starting (python version = 3.12.1, NVR = mock-5.6-1.fc39), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie/R-CRAN-adelie.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1725413460.952011 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie/R-CRAN-adelie.spec) Config(fedora-rawhide-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.6 INFO: Mock Version: 5.6 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1725413460.952011/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.0-1.fc39.noarch python3-dnf-plugins-core-4.8.0-1.fc39.noarch yum-4.21.0-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: fedora 100% | 34.8 MiB/s | 21.8 MiB | 00m01s Copr repository 100% | 95.1 MiB/s | 12.3 MiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.32-2.fc42 fedora 8.2 MiB bzip2 x86_64 1.0.8-19.fc41 fedora 95.7 KiB coreutils x86_64 9.5-9.fc42 fedora 5.7 MiB cpio x86_64 2.15-2.fc41 fedora 1.1 MiB diffutils x86_64 3.10-8.fc41 fedora 1.6 MiB fedora-release-common noarch 42-0.3 fedora 19.4 KiB findutils x86_64 1:4.10.0-4.fc41 fedora 1.8 MiB gawk x86_64 5.3.0-4.fc41 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.40-3.fc41 fedora 0.0 B grep x86_64 3.11-9.fc41 fedora 1.0 MiB gzip x86_64 1.13-2.fc41 fedora 389.0 KiB info x86_64 7.1-3.fc41 fedora 361.8 KiB patch x86_64 2.7.6-25.fc41 fedora 266.7 KiB redhat-rpm-config noarch 294-1.fc42 fedora 186.4 KiB rpm-build x86_64 4.19.92-6.fc41 fedora 194.1 KiB sed x86_64 4.9-3.fc41 fedora 861.5 KiB shadow-utils x86_64 2:4.15.1-9.fc41 fedora 4.1 MiB tar x86_64 2:1.35-4.fc41 fedora 2.9 MiB unzip x86_64 6.0-64.fc41 fedora 386.8 KiB util-linux x86_64 2.40.2-6.fc42 fedora 3.8 MiB which x86_64 2.21-42.fc41 fedora 80.2 KiB xz x86_64 1:5.6.2-2.fc41 fedora 1.2 MiB Installing dependencies: add-determinism x86_64 0.3.6-1.fc41 fedora 2.2 MiB alternatives x86_64 1.30-1.fc41 fedora 66.3 KiB ansible-srpm-macros noarch 1-16.fc41 fedora 35.7 KiB audit-libs x86_64 4.0.2-1.fc41 fedora 331.3 KiB authselect x86_64 1.5.0-7.fc41 fedora 153.5 KiB authselect-libs x86_64 1.5.0-7.fc41 fedora 818.3 KiB basesystem noarch 11-21.fc41 fedora 0.0 B binutils x86_64 2.43.1-1.fc42 fedora 27.5 MiB build-reproducibility-srpm-macros noarch 0.3.6-1.fc41 fedora 735.0 B bzip2-libs x86_64 1.0.8-19.fc41 fedora 80.7 KiB ca-certificates noarch 2024.2.68_v8.0.302-3.fc41 fedora 2.3 MiB coreutils-common x86_64 9.5-9.fc42 fedora 11.2 MiB cracklib x86_64 2.9.11-6.fc41 fedora 238.9 KiB crypto-policies noarch 20240828-1.git5f66e81.fc42 fedora 136.9 KiB curl x86_64 8.9.1-3.fc42 fedora 796.2 KiB cyrus-sasl-lib x86_64 2.1.28-27.fc41 fedora 2.3 MiB debugedit x86_64 5.0-17.fc41 fedora 199.3 KiB dwz x86_64 0.15-7.fc41 fedora 290.9 KiB ed x86_64 1.20.2-2.fc41 fedora 146.9 KiB efi-srpm-macros noarch 5-12.fc41 fedora 40.1 KiB elfutils x86_64 0.191-8.fc41 fedora 2.6 MiB elfutils-debuginfod-client x86_64 0.191-8.fc41 fedora 64.9 KiB elfutils-default-yama-scope noarch 0.191-8.fc41 fedora 1.8 KiB elfutils-libelf x86_64 0.191-8.fc41 fedora 1.2 MiB elfutils-libs x86_64 0.191-8.fc41 fedora 646.2 KiB fedora-gpg-keys noarch 42-0.1 fedora 126.4 KiB fedora-release noarch 42-0.3 fedora 0.0 B fedora-release-identity-basic noarch 42-0.3 fedora 694.0 B fedora-repos noarch 42-0.1 fedora 4.9 KiB fedora-repos-rawhide noarch 42-0.1 fedora 2.2 KiB file x86_64 5.45-7.fc41 fedora 103.5 KiB file-libs x86_64 5.45-7.fc41 fedora 9.9 MiB filesystem x86_64 3.18-23.fc41 fedora 106.0 B fonts-srpm-macros noarch 1:2.0.5-17.fc41 fedora 55.8 KiB forge-srpm-macros noarch 0.3.2-1.fc41 fedora 39.0 KiB fpc-srpm-macros noarch 1.3-13.fc41 fedora 144.0 B gdb-minimal x86_64 15.1-1.fc41 fedora 13.0 MiB gdbm x86_64 1:1.23-7.fc41 fedora 460.9 KiB gdbm-libs x86_64 1:1.23-7.fc41 fedora 121.9 KiB ghc-srpm-macros noarch 1.9.1-2.fc41 fedora 747.0 B glibc x86_64 2.40-3.fc41 fedora 6.7 MiB glibc-common x86_64 2.40-3.fc41 fedora 1.0 MiB glibc-gconv-extra x86_64 2.40-3.fc41 fedora 8.0 MiB gmp x86_64 1:6.3.0-2.fc41 fedora 811.4 KiB gnat-srpm-macros noarch 6-6.fc41 fedora 1.0 KiB go-srpm-macros noarch 3.6.0-3.fc41 fedora 60.8 KiB jansson x86_64 2.13.1-10.fc41 fedora 88.3 KiB kernel-srpm-macros noarch 1.0-24.fc41 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-4.fc41 fedora 54.4 KiB krb5-libs x86_64 1.21.3-2.fc41 fedora 2.3 MiB libacl x86_64 2.3.2-2.fc41 fedora 40.0 KiB libarchive x86_64 3.7.4-3.fc41 fedora 922.6 KiB libattr x86_64 2.5.2-4.fc41 fedora 28.5 KiB libblkid x86_64 2.40.2-6.fc42 fedora 262.5 KiB libbrotli x86_64 1.1.0-5.fc41 fedora 837.6 KiB libcap x86_64 2.70-4.fc41 fedora 220.2 KiB libcap-ng x86_64 0.8.5-3.fc41 fedora 69.2 KiB libcom_err x86_64 1.47.1-3.fc41 fedora 67.2 KiB libcurl x86_64 8.9.1-3.fc42 fedora 818.1 KiB libeconf x86_64 0.6.2-3.fc41 fedora 58.0 KiB libevent x86_64 2.1.12-14.fc41 fedora 895.7 KiB libfdisk x86_64 2.40.2-6.fc42 fedora 362.9 KiB libffi x86_64 3.4.6-3.fc42 fedora 86.4 KiB libgcc x86_64 14.2.1-1.fc42 fedora 274.6 KiB libgomp x86_64 14.2.1-1.fc42 fedora 523.4 KiB libidn2 x86_64 2.3.7-2.fc41 fedora 329.1 KiB libmount x86_64 2.40.2-6.fc42 fedora 355.8 KiB libnghttp2 x86_64 1.63.0-1.fc42 fedora 170.1 KiB libnsl2 x86_64 2.0.1-2.fc41 fedora 57.9 KiB libpkgconf x86_64 2.3.0-1.fc42 fedora 78.2 KiB libpsl x86_64 0.21.5-4.fc41 fedora 80.5 KiB libpwquality x86_64 1.4.5-11.fc41 fedora 417.8 KiB libselinux x86_64 3.7-5.fc41 fedora 181.0 KiB libsemanage x86_64 3.7-2.fc41 fedora 293.5 KiB libsepol x86_64 3.7-2.fc41 fedora 817.8 KiB libsmartcols x86_64 2.40.2-6.fc42 fedora 180.3 KiB libssh x86_64 0.11.1-1.fc42 fedora 569.6 KiB libssh-config noarch 0.11.1-1.fc42 fedora 277.0 B libstdc++ x86_64 14.2.1-1.fc42 fedora 2.8 MiB libtasn1 x86_64 4.19.0-9.fc41 fedora 175.7 KiB libtirpc x86_64 1.3.5-0.fc41 fedora 202.7 KiB libtool-ltdl x86_64 2.4.7-12.fc41 fedora 66.2 KiB libunistring x86_64 1.1-8.fc41 fedora 1.7 MiB libutempter x86_64 1.2.1-15.fc41 fedora 57.7 KiB libuuid x86_64 2.40.2-6.fc42 fedora 41.4 KiB libverto x86_64 0.3.2-9.fc41 fedora 29.5 KiB libxcrypt x86_64 4.4.36-7.fc41 fedora 266.8 KiB libxml2 x86_64 2.12.8-2.fc41 fedora 1.7 MiB libzstd x86_64 1.5.6-2.fc41 fedora 795.9 KiB lua-libs x86_64 5.4.6-6.fc41 fedora 285.0 KiB lua-srpm-macros noarch 1-14.fc41 fedora 1.3 KiB lz4-libs x86_64 1.10.0-1.fc41 fedora 145.5 KiB mpfr x86_64 4.2.1-5.fc41 fedora 832.1 KiB ncurses-base noarch 6.5-2.20240629.fc41 fedora 326.3 KiB ncurses-libs x86_64 6.5-2.20240629.fc41 fedora 975.2 KiB ocaml-srpm-macros noarch 10-3.fc41 fedora 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 fedora 112.0 B openldap x86_64 2.6.8-5.fc41 fedora 644.2 KiB openssl-libs x86_64 1:3.2.2-5.fc41 fedora 7.8 MiB p11-kit x86_64 0.25.5-3.fc41 fedora 2.2 MiB p11-kit-trust x86_64 0.25.5-3.fc41 fedora 391.4 KiB package-notes-srpm-macros noarch 0.5-12.fc41 fedora 1.6 KiB pam x86_64 1.6.1-5.fc41 fedora 1.8 MiB pam-libs x86_64 1.6.1-5.fc41 fedora 139.0 KiB pcre2 x86_64 10.44-1.fc41.1 fedora 653.5 KiB pcre2-syntax noarch 10.44-1.fc41.1 fedora 251.6 KiB perl-srpm-macros noarch 1-56.fc41 fedora 861.0 B pkgconf x86_64 2.3.0-1.fc42 fedora 88.6 KiB pkgconf-m4 noarch 2.3.0-1.fc42 fedora 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-1.fc42 fedora 989.0 B popt x86_64 1.19-7.fc41 fedora 136.9 KiB publicsuffix-list-dafsa noarch 20240107-4.fc41 fedora 67.5 KiB pyproject-srpm-macros noarch 1.14.0-1.fc41 fedora 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 fedora 51.0 KiB qt5-srpm-macros noarch 5.15.14-3.fc41 fedora 500.0 B qt6-srpm-macros noarch 6.7.2-3.fc41 fedora 456.0 B readline x86_64 8.2-11.fc42 fedora 493.1 KiB rpm x86_64 4.19.92-6.fc41 fedora 3.1 MiB rpm-build-libs x86_64 4.19.92-6.fc41 fedora 206.7 KiB rpm-libs x86_64 4.19.92-6.fc41 fedora 721.9 KiB rpm-sequoia x86_64 1.7.0-2.fc41 fedora 2.4 MiB rust-srpm-macros noarch 26.3-3.fc42 fedora 4.8 KiB setup noarch 2.15.0-5.fc41 fedora 720.7 KiB sqlite-libs x86_64 3.46.0-4.fc41 fedora 1.4 MiB systemd-libs x86_64 256.5-1.fc42 fedora 2.0 MiB util-linux-core x86_64 2.40.2-6.fc42 fedora 1.5 MiB xxhash-libs x86_64 0.8.2-3.fc41 fedora 88.5 KiB xz-libs x86_64 1:5.6.2-2.fc41 fedora 214.4 KiB zig-srpm-macros noarch 1-3.fc41 fedora 1.1 KiB zip x86_64 3.0-41.fc41 fedora 703.2 KiB zlib-ng-compat x86_64 2.1.7-2.fc41 fedora 134.0 KiB zstd x86_64 1.5.6-2.fc41 fedora 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 154 packages Total size of inbound packages is 53 MiB. Need to download 53 MiB. After this operation 181 MiB will be used (install 181 MiB, remove 0 B). [ 1/154] bzip2-0:1.0.8-19.fc41.x86_64 100% | 3.4 MiB/s | 52.5 KiB | 00m00s [ 2/154] coreutils-0:9.5-9.fc42.x86_64 100% | 65.0 MiB/s | 1.1 MiB | 00m00s [ 3/154] cpio-0:2.15-2.fc41.x86_64 100% | 47.5 MiB/s | 291.8 KiB | 00m00s [ 4/154] bash-0:5.2.32-2.fc42.x86_64 100% | 72.3 MiB/s | 1.8 MiB | 00m00s [ 5/154] diffutils-0:3.10-8.fc41.x86_6 100% | 49.5 MiB/s | 405.4 KiB | 00m00s [ 6/154] fedora-release-common-0:42-0. 100% | 7.5 MiB/s | 23.0 KiB | 00m00s [ 7/154] glibc-minimal-langpack-0:2.40 100% | 60.6 MiB/s | 124.0 KiB | 00m00s [ 8/154] grep-0:3.11-9.fc41.x86_64 100% | 73.2 MiB/s | 299.8 KiB | 00m00s [ 9/154] findutils-1:4.10.0-4.fc41.x86 100% | 89.3 MiB/s | 548.6 KiB | 00m00s [ 10/154] info-0:7.1-3.fc41.x86_64 100% | 89.1 MiB/s | 182.5 KiB | 00m00s [ 11/154] patch-0:2.7.6-25.fc41.x86_64 100% | 63.9 MiB/s | 131.0 KiB | 00m00s [ 12/154] gzip-0:1.13-2.fc41.x86_64 100% | 27.7 MiB/s | 170.2 KiB | 00m00s [ 13/154] rpm-build-0:4.19.92-6.fc41.x8 100% | 81.4 MiB/s | 83.4 KiB | 00m00s [ 14/154] sed-0:4.9-3.fc41.x86_64 100% | 155.1 MiB/s | 317.7 KiB | 00m00s [ 15/154] redhat-rpm-config-0:294-1.fc4 100% | 20.0 MiB/s | 82.1 KiB | 00m00s [ 16/154] tar-2:1.35-4.fc41.x86_64 100% | 280.2 MiB/s | 860.7 KiB | 00m00s [ 17/154] unzip-0:6.0-64.fc41.x86_64 100% | 36.1 MiB/s | 184.9 KiB | 00m00s [ 18/154] shadow-utils-2:4.15.1-9.fc41. 100% | 132.2 MiB/s | 1.3 MiB | 00m00s [ 19/154] which-0:2.21-42.fc41.x86_64 100% | 10.1 MiB/s | 41.6 KiB | 00m00s [ 20/154] util-linux-0:2.40.2-6.fc42.x8 100% | 172.0 MiB/s | 1.2 MiB | 00m00s [ 21/154] gawk-0:5.3.0-4.fc41.x86_64 100% | 133.9 MiB/s | 1.1 MiB | 00m00s [ 22/154] filesystem-0:3.18-23.fc41.x86 100% | 155.3 MiB/s | 1.1 MiB | 00m00s [ 23/154] glibc-0:2.40-3.fc41.x86_64 100% | 159.8 MiB/s | 2.2 MiB | 00m00s [ 24/154] bzip2-libs-0:1.0.8-19.fc41.x8 100% | 2.2 MiB/s | 41.1 KiB | 00m00s [ 25/154] ncurses-libs-0:6.5-2.20240629 100% | 12.5 MiB/s | 334.0 KiB | 00m00s [ 26/154] xz-1:5.6.2-2.fc41.x86_64 100% | 10.2 MiB/s | 471.5 KiB | 00m00s [ 27/154] libacl-0:2.3.2-2.fc41.x86_64 100% | 23.9 MiB/s | 24.5 KiB | 00m00s [ 28/154] gmp-1:6.3.0-2.fc41.x86_64 100% | 103.5 MiB/s | 318.0 KiB | 00m00s [ 29/154] libattr-0:2.5.2-4.fc41.x86_64 100% | 8.9 MiB/s | 18.2 KiB | 00m00s [ 30/154] libcap-0:2.70-4.fc41.x86_64 100% | 42.3 MiB/s | 86.7 KiB | 00m00s [ 31/154] libselinux-0:3.7-5.fc41.x86_6 100% | 42.9 MiB/s | 87.8 KiB | 00m00s [ 32/154] coreutils-common-0:9.5-9.fc42 100% | 163.2 MiB/s | 2.1 MiB | 00m00s [ 33/154] fedora-repos-0:42-0.1.noarch 100% | 9.0 MiB/s | 9.2 KiB | 00m00s [ 34/154] systemd-libs-0:256.5-1.fc42.x 100% | 89.2 MiB/s | 730.4 KiB | 00m00s [ 35/154] glibc-common-0:2.40-3.fc41.x8 100% | 100.7 MiB/s | 412.4 KiB | 00m00s [ 36/154] pcre2-0:10.44-1.fc41.1.x86_64 100% | 79.1 MiB/s | 243.1 KiB | 00m00s [ 37/154] openssl-libs-1:3.2.2-5.fc41.x 100% | 144.3 MiB/s | 2.3 MiB | 00m00s [ 38/154] ed-0:1.20.2-2.fc41.x86_64 100% | 20.0 MiB/s | 81.8 KiB | 00m00s [ 39/154] ansible-srpm-macros-0:1-16.fc 100% | 6.8 MiB/s | 20.8 KiB | 00m00s [ 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-------------------------------------------------------------------------------- [154/154] Total 100% | 112.4 MiB/s | 53.3 MiB | 00m00s Running transaction Importing PGP key 0x105EF944: Userid : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. Importing PGP key 0x105EF944: Userid : "Fedora (42) " Fingerprint: B0F4950458F69E1150C6C5EDC8AC4916105EF944 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-42-primary The key was successfully imported. Importing PGP key 0xE99D6AD1: Userid : "Fedora (41) " Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary The key was successfully imported. Importing PGP key 0x31645531: Userid : "Fedora (43) " Fingerprint: C6E7F081CF80E13146676E88829B606631645531 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-43-primary The key was successfully imported. [ 1/156] Verify package files 100% | 841.0 B/s | 154.0 B | 00m00s >>> Running pre-transaction scriptlet: filesystem-0:3.18-23.fc41.x86_64 >>> Stop pre-transaction scriptlet: filesystem-0:3.18-23.fc41.x86_64 [ 2/156] Prepare transaction 100% | 4.3 KiB/s | 154.0 B | 00m00s [ 3/156] Installing libgcc-0:14.2.1-1. 100% | 269.8 MiB/s | 276.3 KiB | 00m00s >>> Running post-install scriptlet: libgcc-0:14.2.1-1.fc42.x86_64 >>> Stop post-install scriptlet: libgcc-0:14.2.1-1.fc42.x86_64 [ 4/156] Installing fedora-release-ide 100% | 0.0 B/s | 952.0 B | 00m00s [ 5/156] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.4 KiB | 00m00s [ 6/156] Installing fedora-gpg-keys-0: 100% | 56.1 MiB/s | 172.2 KiB | 00m00s [ 7/156] Installing fedora-repos-0:42- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 8/156] Installing fedora-release-com 100% | 23.1 MiB/s | 23.7 KiB | 00m00s [ 9/156] Installing fedora-release-0:4 100% | 0.0 B/s | 124.0 B | 00m00s [ 10/156] Installing setup-0:2.15.0-5.f 100% | 59.1 MiB/s | 726.1 KiB | 00m00s >>> Running post-install scriptlet: setup-0:2.15.0-5.fc41.noarch >>> Stop post-install scriptlet: setup-0:2.15.0-5.fc41.noarch [ 11/156] Installing filesystem-0:3.18- 100% | 3.5 MiB/s | 212.5 KiB | 00m00s [ 12/156] Installing basesystem-0:11-21 100% | 0.0 B/s | 124.0 B | 00m00s [ 13/156] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 14/156] Installing publicsuffix-list- 100% | 0.0 B/s | 68.3 KiB | 00m00s [ 15/156] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [ 16/156] Installing pcre2-syntax-0:10. 100% | 248.1 MiB/s | 254.1 KiB | 00m00s [ 17/156] Installing ncurses-base-0:6.5 100% | 85.9 MiB/s | 351.7 KiB | 00m00s [ 18/156] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 19/156] Installing ncurses-libs-0:6.5 100% | 239.7 MiB/s | 981.8 KiB | 00m00s >>> Running pre-install scriptlet: glibc-0:2.40-3.fc41.x86_64 >>> Stop pre-install scriptlet: glibc-0:2.40-3.fc41.x86_64 [ 20/156] Installing glibc-0:2.40-3.fc4 100% | 230.2 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>>> Running post-install scriptlet: crypto-policies-0:20240828-1.git5f66e81.fc42 >>> Stop post-install scriptlet: crypto-policies-0:20240828-1.git5f66e81.fc42.no [ 39/156] Installing libeconf-0:0.6.2-3 100% | 58.3 MiB/s | 59.7 KiB | 00m00s [ 40/156] Installing gdbm-libs-1:1.23-7 100% | 120.7 MiB/s | 123.6 KiB | 00m00s [ 41/156] Installing dwz-0:0.15-7.fc41. 100% | 285.5 MiB/s | 292.3 KiB | 00m00s [ 42/156] Installing mpfr-0:4.2.1-5.fc4 100% | 271.4 MiB/s | 833.7 KiB | 00m00s [ 43/156] Installing gawk-0:5.3.0-4.fc4 100% | 288.7 MiB/s | 1.7 MiB | 00m00s [ 44/156] Installing unzip-0:6.0-64.fc4 100% | 190.6 MiB/s | 390.3 KiB | 00m00s [ 45/156] Installing file-libs-0:5.45-7 100% | 709.6 MiB/s | 9.9 MiB | 00m00s [ 46/156] Installing file-0:5.45-7.fc41 100% | 102.6 MiB/s | 105.0 KiB | 00m00s [ 47/156] Installing pcre2-0:10.44-1.fc 100% | 319.8 MiB/s | 654.9 KiB | 00m00s [ 48/156] Installing grep-0:3.11-9.fc41 100% | 250.8 MiB/s | 1.0 MiB | 00m00s [ 49/156] Installing xz-1:5.6.2-2.fc41. 100% | 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Installing lua-libs-0:5.4.6-6 100% | 279.5 MiB/s | 286.2 KiB | 00m00s [ 63/156] Installing libcom_err-0:1.47. 100% | 0.0 B/s | 68.3 KiB | 00m00s [ 64/156] Installing alternatives-0:1.3 100% | 66.3 MiB/s | 67.9 KiB | 00m00s [ 65/156] Installing libtasn1-0:4.19.0- 100% | 173.3 MiB/s | 177.5 KiB | 00m00s [ 66/156] Installing libunistring-0:1.1 100% | 432.7 MiB/s | 1.7 MiB | 00m00s [ 67/156] Installing libidn2-0:2.3.7-2. 100% | 163.6 MiB/s | 335.1 KiB | 00m00s [ 68/156] Installing libpsl-0:0.21.5-4. 100% | 79.7 MiB/s | 81.7 KiB | 00m00s [ 69/156] Installing zstd-0:1.5.6-2.fc4 100% | 422.9 MiB/s | 1.7 MiB | 00m00s [ 70/156] Installing util-linux-core-0: 100% | 254.7 MiB/s | 1.5 MiB | 00m00s [ 71/156] Installing tar-2:1.35-4.fc41. 100% | 369.8 MiB/s | 3.0 MiB | 00m00s [ 72/156] Installing libsemanage-0:3.7- 100% | 144.2 MiB/s | 295.2 KiB | 00m00s [ 73/156] Installing shadow-utils-2:4.1 100% | 174.7 MiB/s | 4.2 MiB | 00m00s >>> Running pre-install scriptlet: libutempter-0:1.2.1-15.fc41.x86_64 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Installing rpm-build-libs-0:4 100% | 202.6 MiB/s | 207.5 KiB | 00m00s [141/156] Installing curl-0:8.9.1-3.fc4 100% | 78.0 MiB/s | 798.6 KiB | 00m00s >>> Running pre-install scriptlet: rpm-0:4.19.92-6.fc41.x86_64 >>> Stop pre-install scriptlet: rpm-0:4.19.92-6.fc41.x86_64 [142/156] Installing rpm-0:4.19.92-6.fc 100% | 178.5 MiB/s | 2.5 MiB | 00m00s [143/156] Installing efi-srpm-macros-0: 100% | 0.0 B/s | 41.2 KiB | 00m00s [144/156] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [145/156] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [146/156] Installing fonts-srpm-macros- 100% | 0.0 B/s | 57.0 KiB | 00m00s [147/156] Installing forge-srpm-macros- 100% | 0.0 B/s | 40.4 KiB | 00m00s [148/156] Installing go-srpm-macros-0:3 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [149/156] Installing python-srpm-macros 100% | 50.9 MiB/s | 52.2 KiB | 00m00s [150/156] Installing redhat-rpm-config- 100% | 94.2 MiB/s | 192.9 KiB | 00m00s [151/156] Installing rpm-build-0:4.19.9 100% | 99.0 MiB/s | 202.8 KiB | 00m00s [152/156] Installing pyproject-srpm-mac 100% | 2.4 MiB/s | 2.5 KiB | 00m00s [153/156] Installing util-linux-0:2.40. 100% | 193.1 MiB/s | 3.9 MiB | 00m00s >>> Running post-install scriptlet: util-linux-0:2.40.2-6.fc42.x86_64 >>> Stop post-install scriptlet: util-linux-0:2.40.2-6.fc42.x86_64 [154/156] Installing authselect-0:1.5.0 100% | 77.1 MiB/s | 157.9 KiB | 00m00s [155/156] Installing which-0:2.21-42.fc 100% | 80.5 MiB/s | 82.4 KiB | 00m00s [156/156] Installing info-0:7.1-3.fc41. 100% | 392.0 KiB/s | 362.2 KiB | 00m01s >>> Running post-transaction scriptlet: filesystem-0:3.18-23.fc41.x86_64 >>> Stop post-transaction scriptlet: filesystem-0:3.18-23.fc41.x86_64 >>> Running post-transaction scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.f >>> Stop post-transaction scriptlet: ca-certificates-0:2024.2.68_v8.0.302-3.fc41 >>> Running post-transaction scriptlet: authselect-libs-0:1.5.0-7.fc41.x86_64 >>> Stop post-transaction scriptlet: authselect-libs-0:1.5.0-7.fc41.x86_64 >>> Running post-transaction scriptlet: rpm-0:4.19.92-6.fc41.x86_64 >>> Stop post-transaction scriptlet: rpm-0:4.19.92-6.fc41.x86_64 >>> Running trigger-install scriptlet: glibc-common-0:2.40-3.fc41.x86_64 >>> Stop trigger-install scriptlet: glibc-common-0:2.40-3.fc41.x86_64 >>> Running trigger-install scriptlet: info-0:7.1-3.fc41.x86_64 >>> Stop trigger-install scriptlet: info-0:7.1-3.fc41.x86_64 Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.3.6-1.fc41.x86_64 alternatives-1.30-1.fc41.x86_64 ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.x86_64 authselect-1.5.0-7.fc41.x86_64 authselect-libs-1.5.0-7.fc41.x86_64 basesystem-11-21.fc41.noarch bash-5.2.32-2.fc42.x86_64 binutils-2.43.1-1.fc42.x86_64 build-reproducibility-srpm-macros-0.3.6-1.fc41.noarch bzip2-1.0.8-19.fc41.x86_64 bzip2-libs-1.0.8-19.fc41.x86_64 ca-certificates-2024.2.68_v8.0.302-3.fc41.noarch coreutils-9.5-9.fc42.x86_64 coreutils-common-9.5-9.fc42.x86_64 cpio-2.15-2.fc41.x86_64 cracklib-2.9.11-6.fc41.x86_64 crypto-policies-20240828-1.git5f66e81.fc42.noarch curl-8.9.1-3.fc42.x86_64 cyrus-sasl-lib-2.1.28-27.fc41.x86_64 debugedit-5.0-17.fc41.x86_64 diffutils-3.10-8.fc41.x86_64 dwz-0.15-7.fc41.x86_64 ed-1.20.2-2.fc41.x86_64 efi-srpm-macros-5-12.fc41.noarch elfutils-0.191-8.fc41.x86_64 elfutils-debuginfod-client-0.191-8.fc41.x86_64 elfutils-default-yama-scope-0.191-8.fc41.noarch elfutils-libelf-0.191-8.fc41.x86_64 elfutils-libs-0.191-8.fc41.x86_64 fedora-gpg-keys-42-0.1.noarch fedora-release-42-0.3.noarch fedora-release-common-42-0.3.noarch fedora-release-identity-basic-42-0.3.noarch fedora-repos-42-0.1.noarch fedora-repos-rawhide-42-0.1.noarch file-5.45-7.fc41.x86_64 file-libs-5.45-7.fc41.x86_64 filesystem-3.18-23.fc41.x86_64 findutils-4.10.0-4.fc41.x86_64 fonts-srpm-macros-2.0.5-17.fc41.noarch forge-srpm-macros-0.3.2-1.fc41.noarch fpc-srpm-macros-1.3-13.fc41.noarch gawk-5.3.0-4.fc41.x86_64 gdb-minimal-15.1-1.fc41.x86_64 gdbm-1.23-7.fc41.x86_64 gdbm-libs-1.23-7.fc41.x86_64 ghc-srpm-macros-1.9.1-2.fc41.noarch glibc-2.40-3.fc41.x86_64 glibc-common-2.40-3.fc41.x86_64 glibc-gconv-extra-2.40-3.fc41.x86_64 glibc-minimal-langpack-2.40-3.fc41.x86_64 gmp-6.3.0-2.fc41.x86_64 gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-3.fc41.noarch gpg-pubkey-105ef944-65ca83d1 gpg-pubkey-31645531-66b6dccf gpg-pubkey-e99d6ad1-64d2612c grep-3.11-9.fc41.x86_64 gzip-1.13-2.fc41.x86_64 info-7.1-3.fc41.x86_64 jansson-2.13.1-10.fc41.x86_64 kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.x86_64 krb5-libs-1.21.3-2.fc41.x86_64 libacl-2.3.2-2.fc41.x86_64 libarchive-3.7.4-3.fc41.x86_64 libattr-2.5.2-4.fc41.x86_64 libblkid-2.40.2-6.fc42.x86_64 libbrotli-1.1.0-5.fc41.x86_64 libcap-2.70-4.fc41.x86_64 libcap-ng-0.8.5-3.fc41.x86_64 libcom_err-1.47.1-3.fc41.x86_64 libcurl-8.9.1-3.fc42.x86_64 libeconf-0.6.2-3.fc41.x86_64 libevent-2.1.12-14.fc41.x86_64 libfdisk-2.40.2-6.fc42.x86_64 libffi-3.4.6-3.fc42.x86_64 libgcc-14.2.1-1.fc42.x86_64 libgomp-14.2.1-1.fc42.x86_64 libidn2-2.3.7-2.fc41.x86_64 libmount-2.40.2-6.fc42.x86_64 libnghttp2-1.63.0-1.fc42.x86_64 libnsl2-2.0.1-2.fc41.x86_64 libpkgconf-2.3.0-1.fc42.x86_64 libpsl-0.21.5-4.fc41.x86_64 libpwquality-1.4.5-11.fc41.x86_64 libselinux-3.7-5.fc41.x86_64 libsemanage-3.7-2.fc41.x86_64 libsepol-3.7-2.fc41.x86_64 libsmartcols-2.40.2-6.fc42.x86_64 libssh-0.11.1-1.fc42.x86_64 libssh-config-0.11.1-1.fc42.noarch libstdc++-14.2.1-1.fc42.x86_64 libtasn1-4.19.0-9.fc41.x86_64 libtirpc-1.3.5-0.fc41.x86_64 libtool-ltdl-2.4.7-12.fc41.x86_64 libunistring-1.1-8.fc41.x86_64 libutempter-1.2.1-15.fc41.x86_64 libuuid-2.40.2-6.fc42.x86_64 libverto-0.3.2-9.fc41.x86_64 libxcrypt-4.4.36-7.fc41.x86_64 libxml2-2.12.8-2.fc41.x86_64 libzstd-1.5.6-2.fc41.x86_64 lua-libs-5.4.6-6.fc41.x86_64 lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.x86_64 mpfr-4.2.1-5.fc41.x86_64 ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.x86_64 ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-5.fc41.x86_64 openssl-libs-3.2.2-5.fc41.x86_64 p11-kit-0.25.5-3.fc41.x86_64 p11-kit-trust-0.25.5-3.fc41.x86_64 package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.6.1-5.fc41.x86_64 pam-libs-1.6.1-5.fc41.x86_64 patch-2.7.6-25.fc41.x86_64 pcre2-10.44-1.fc41.1.x86_64 pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc42.x86_64 pkgconf-m4-2.3.0-1.fc42.noarch pkgconf-pkg-config-2.3.0-1.fc42.x86_64 popt-1.19-7.fc41.x86_64 publicsuffix-list-dafsa-20240107-4.fc41.noarch pyproject-srpm-macros-1.14.0-1.fc41.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.14-3.fc41.noarch qt6-srpm-macros-6.7.2-3.fc41.noarch readline-8.2-11.fc42.x86_64 redhat-rpm-config-294-1.fc42.noarch rpm-4.19.92-6.fc41.x86_64 rpm-build-4.19.92-6.fc41.x86_64 rpm-build-libs-4.19.92-6.fc41.x86_64 rpm-libs-4.19.92-6.fc41.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 rust-srpm-macros-26.3-3.fc42.noarch sed-4.9-3.fc41.x86_64 setup-2.15.0-5.fc41.noarch shadow-utils-4.15.1-9.fc41.x86_64 sqlite-libs-3.46.0-4.fc41.x86_64 systemd-libs-256.5-1.fc42.x86_64 tar-1.35-4.fc41.x86_64 unzip-6.0-64.fc41.x86_64 util-linux-2.40.2-6.fc42.x86_64 util-linux-core-2.40.2-6.fc42.x86_64 which-2.21-42.fc41.x86_64 xxhash-libs-0.8.2-3.fc41.x86_64 xz-5.6.2-2.fc41.x86_64 xz-libs-5.6.2-2.fc41.x86_64 zig-srpm-macros-1-3.fc41.noarch zip-3.0-41.fc41.x86_64 zlib-ng-compat-2.1.7-2.fc41.x86_64 zstd-1.5.6-2.fc41.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm RPM build warnings: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Finish: rpmbuild -bs cp: preserving permissions for ‘/var/lib/copr-rpmbuild/results/chroot_scan/var/lib/mock/fedora-rawhide-x86_64-1725413460.952011/root/var/log’: No such file or directory INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1725413460.952011/root/var/log/dnf5.log Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-4x3wftv_/R-CRAN-adelie/R-CRAN-adelie.spec) Config(child) 0 minutes 12 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm) Config(fedora-rawhide-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1725413460.952011/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.19.1.1-1.fc39.x86_64 rpm-sequoia-1.6.0-1.fc39.x86_64 python3-dnf-4.21.0-1.fc39.noarch python3-dnf-plugins-core-4.8.0-1.fc39.noarch yum-4.21.0-1.fc39.noarch dnf5-5.1.17-2.fc39.x86_64 dnf5-plugins-5.1.17-2.fc39.x86_64 Finish: chroot init Start: build phase for R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm Start: build setup for R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm Building target platforms: x86_64 Building for target x86_64 warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Wrote: /builddir/build/SRPMS/R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm RPM build warnings: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Updating and loading repositories: fedora 100% | 25.2 KiB/s | 5.3 KiB | 00m00s Copr repository 100% | 102.6 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: R-CRAN-Matrix x86_64 1.7.0-1.fc41.copr7382390 copr_base 8.0 MiB R-CRAN-Rcpp x86_64 1.0.13-1.fc41.copr7745410 copr_base 8.4 MiB R-CRAN-RcppEigen x86_64 0.3.4.0.2-1.fc42.copr7940693 copr_base 9.0 MiB R-CRAN-r2r noarch 0.1.1-1.fc41.copr7355434 copr_base 201.4 KiB R-CRAN-stringr noarch 1.5.1-1.fc41.copr7357924 copr_base 646.8 KiB R-core x86_64 4.4.1-5.fc41 fedora 101.5 MiB R-devel x86_64 4.4.1-5.fc41 fedora 0.0 B Installing dependencies: R-CRAN-cli x86_64 3.6.3-1.fc41.copr7649835 copr_base 2.4 MiB R-CRAN-digest x86_64 0.6.37-1.fc42.copr7936834 copr_base 495.7 KiB R-CRAN-glue x86_64 1.7.0-1.fc41.copr7349919 copr_base 261.2 KiB R-CRAN-lattice x86_64 0.22.6-1.fc41.copr7352639 copr_base 2.0 MiB R-CRAN-lifecycle noarch 1.0.4-1.fc41.copr7354340 copr_base 282.7 KiB R-CRAN-magrittr x86_64 2.0.3-1.fc41.copr7349936 copr_base 417.3 KiB R-CRAN-rlang x86_64 1.1.4-1.fc41.copr7531082 copr_base 2.6 MiB R-CRAN-stringi x86_64 1.8.4-1.fc41.copr7422034 copr_base 2.0 MiB R-CRAN-vctrs x86_64 0.6.5-1.fc41.copr7356070 copr_base 2.3 MiB R-core-devel x86_64 4.4.1-5.fc41 fedora 394.7 KiB R-java x86_64 4.4.1-5.fc41 fedora 0.0 B R-java-devel x86_64 4.4.1-5.fc41 fedora 0.0 B R-littler x86_64 0.3.19-5.fc41 fedora 158.1 KiB R-rpm-macros noarch 1.2.1-11.fc41 fedora 5.6 KiB abattis-cantarell-vf-fonts noarch 0.301-13.fc41 fedora 192.7 KiB alsa-lib x86_64 1.2.12-2.fc41 fedora 1.4 MiB annobin-docs noarch 12.70-1.fc42 fedora 97.7 KiB annobin-plugin-gcc x86_64 12.70-1.fc42 fedora 985.6 KiB avahi-libs x86_64 0.8-30.fc42 fedora 174.2 KiB brotli x86_64 1.1.0-5.fc41 fedora 31.8 KiB brotli-devel x86_64 1.1.0-5.fc41 fedora 65.6 KiB bzip2-devel x86_64 1.0.8-19.fc41 fedora 309.8 KiB cairo x86_64 1.18.0-4.fc41 fedora 1.7 MiB cairo-devel x86_64 1.18.0-4.fc41 fedora 2.3 MiB cmake-filesystem x86_64 3.28.3-7.fc41 fedora 0.0 B copy-jdk-configs noarch 4.1-6.fc41 fedora 20.3 KiB cpp x86_64 14.2.1-1.fc42 fedora 35.0 MiB cups-libs x86_64 1:2.4.10-6.fc42 fedora 622.9 KiB dbus-libs x86_64 1:1.14.10-4.fc41 fedora 368.9 KiB default-fonts-core-sans noarch 4.1-3.fc42 fedora 11.9 KiB desktop-file-utils x86_64 0.27-2.fc41 fedora 230.4 KiB emacs-filesystem noarch 1:30.0-3.fc41 fedora 0.0 B expat x86_64 2.6.2-2.fc41 fedora 284.8 KiB flexiblas x86_64 3.4.4-3.fc41 fedora 48.5 KiB flexiblas-devel x86_64 3.4.4-3.fc41 fedora 4.8 MiB flexiblas-netlib x86_64 3.4.4-3.fc41 fedora 10.7 MiB flexiblas-netlib64 x86_64 3.4.4-3.fc41 fedora 10.8 MiB flexiblas-openblas-openmp x86_64 3.4.4-3.fc41 fedora 43.3 KiB flexiblas-openblas-openmp64 x86_64 3.4.4-3.fc41 fedora 43.3 KiB fontconfig x86_64 2.15.0-8.fc41 fedora 791.9 KiB fontconfig-devel x86_64 2.15.0-8.fc41 fedora 117.2 KiB fonts-filesystem noarch 1:2.0.5-17.fc41 fedora 0.0 B freetype x86_64 2.13.2-6.fc41 fedora 850.6 KiB freetype-devel x86_64 2.13.2-6.fc41 fedora 7.8 MiB fribidi x86_64 1.0.15-2.fc41 fedora 368.4 KiB gcc x86_64 14.2.1-1.fc42 fedora 104.1 MiB gcc-c++ x86_64 14.2.1-1.fc42 fedora 38.2 MiB gcc-gfortran x86_64 14.2.1-1.fc42 fedora 37.2 MiB gcc-plugin-annobin x86_64 14.2.1-1.fc42 fedora 61.1 KiB gettext x86_64 0.22.5-6.fc41 fedora 5.2 MiB gettext-envsubst x86_64 0.22.5-6.fc41 fedora 74.9 KiB gettext-libs x86_64 0.22.5-6.fc41 fedora 1.7 MiB gettext-runtime x86_64 0.22.5-6.fc41 fedora 481.3 KiB glib2 x86_64 2.82.0-1.fc42 fedora 14.7 MiB glib2-devel x86_64 2.82.0-1.fc42 fedora 15.7 MiB glibc-devel x86_64 2.40-3.fc41 fedora 35.0 KiB glibc-headers-x86 noarch 2.40-3.fc41 fedora 2.2 MiB gnutls x86_64 3.8.7-2.fc42 fedora 3.2 MiB google-noto-fonts-common noarch 20240701-2.fc41 fedora 17.5 KiB google-noto-sans-vf-fonts noarch 20240701-2.fc41 fedora 1.2 MiB graphite2 x86_64 1.3.14-16.fc41 fedora 192.0 KiB graphite2-devel x86_64 1.3.14-16.fc41 fedora 49.1 KiB harfbuzz x86_64 9.0.0-3.fc42 fedora 2.6 MiB harfbuzz-cairo x86_64 9.0.0-3.fc42 fedora 52.2 KiB harfbuzz-devel x86_64 9.0.0-3.fc42 fedora 5.1 MiB harfbuzz-icu x86_64 9.0.0-3.fc42 fedora 19.5 KiB java-21-openjdk x86_64 1:21.0.4.0.7-2.fc41 fedora 1.1 MiB java-21-openjdk-devel x86_64 1:21.0.4.0.7-2.fc41 fedora 11.2 MiB java-21-openjdk-headless x86_64 1:21.0.4.0.7-2.fc41 fedora 204.9 MiB javapackages-filesystem noarch 6.2.0-27.fc42 fedora 1.9 KiB jbigkit-libs x86_64 2.1-30.fc41 fedora 117.6 KiB kernel-headers x86_64 6.11.0-0.rc6.49.fc42 fedora 6.4 MiB less x86_64 661-2.fc41 fedora 405.3 KiB libICE x86_64 1.1.1-4.fc41 fedora 181.2 KiB libRmath x86_64 4.4.1-5.fc41 fedora 246.8 KiB libRmath-devel x86_64 4.4.1-5.fc41 fedora 17.4 KiB libSM x86_64 1.2.4-4.fc41 fedora 97.3 KiB libX11 x86_64 1.8.10-2.fc42 fedora 1.3 MiB libX11-common noarch 1.8.10-2.fc42 fedora 1.1 MiB libX11-devel x86_64 1.8.10-2.fc42 fedora 1.0 MiB libX11-xcb x86_64 1.8.10-2.fc42 fedora 15.0 KiB libXau x86_64 1.0.11-7.fc41 fedora 66.9 KiB libXau-devel x86_64 1.0.11-7.fc41 fedora 6.4 KiB libXcomposite x86_64 0.4.6-4.fc41 fedora 44.5 KiB libXext x86_64 1.3.6-2.fc41 fedora 90.1 KiB libXext-devel x86_64 1.3.6-2.fc41 fedora 98.9 KiB libXft x86_64 2.3.8-7.fc41 fedora 164.5 KiB libXft-devel x86_64 2.3.8-7.fc41 fedora 31.7 KiB libXi x86_64 1.8.1-6.fc41 fedora 80.7 KiB libXmu x86_64 1.2.1-2.fc41 fedora 191.5 KiB libXrender x86_64 0.9.11-7.fc41 fedora 50.1 KiB libXrender-devel x86_64 0.9.11-7.fc41 fedora 50.1 KiB libXt x86_64 1.3.0-4.fc41 fedora 429.9 KiB libXtst x86_64 1.2.5-1.fc41 fedora 33.6 KiB libb2 x86_64 0.98.1-12.fc41 fedora 42.2 KiB libblkid-devel x86_64 2.40.2-6.fc42 fedora 44.9 KiB libdatrie x86_64 0.2.13-10.fc41 fedora 57.9 KiB libdeflate x86_64 1.21-2.fc41 fedora 117.0 KiB libdeflate-devel x86_64 1.21-2.fc41 fedora 25.7 KiB libffi-devel x86_64 3.4.6-3.fc42 fedora 33.1 KiB libfontenc x86_64 1.1.8-2.fc41 fedora 67.0 KiB libgfortran x86_64 14.2.1-1.fc42 fedora 3.0 MiB libicu x86_64 74.2-2.fc41 fedora 34.9 MiB libicu-devel x86_64 74.2-2.fc41 fedora 5.6 MiB libjpeg-turbo x86_64 3.0.2-3.fc41 fedora 776.9 KiB liblerc x86_64 4.0.0-7.fc41 fedora 607.5 KiB libmount-devel x86_64 2.40.2-6.fc42 fedora 63.5 KiB libmpc x86_64 1.3.1-6.fc41 fedora 164.7 KiB libpng x86_64 2:1.6.40-4.fc41 fedora 245.8 KiB libpng-devel x86_64 2:1.6.40-4.fc41 fedora 881.5 KiB libquadmath x86_64 14.2.1-1.fc42 fedora 325.9 KiB libquadmath-devel x86_64 14.2.1-1.fc42 fedora 21.8 KiB libselinux-devel x86_64 3.7-5.fc41 fedora 126.4 KiB libsepol-devel x86_64 3.7-2.fc41 fedora 120.3 KiB libstdc++-devel x86_64 14.2.1-1.fc42 fedora 15.4 MiB libtextstyle x86_64 0.22.5-6.fc41 fedora 195.6 KiB libthai x86_64 0.1.29-9.fc41 fedora 783.5 KiB libtiff x86_64 4.6.0-6.fc42 fedora 606.0 KiB libtirpc-devel x86_64 1.3.5-0.fc41 fedora 251.6 KiB libwebp x86_64 1.4.0-4.fc41 fedora 822.6 KiB libxcb x86_64 1.17.0-2.fc41 fedora 1.1 MiB libxcb-devel x86_64 1.17.0-2.fc41 fedora 2.7 MiB libxcrypt-devel x86_64 4.4.36-7.fc41 fedora 30.3 KiB libxml2-devel x86_64 2.12.8-2.fc41 fedora 3.4 MiB lksctp-tools x86_64 1.0.19-9.fc41 fedora 275.2 KiB lua x86_64 5.4.6-6.fc41 fedora 601.7 KiB lua-posix x86_64 36.2.1-7.fc41 fedora 599.8 KiB make x86_64 1:4.4.1-8.fc41 fedora 1.8 MiB mkfontscale x86_64 1.2.3-1.fc41 fedora 49.2 KiB mpdecimal x86_64 2.5.1-16.fc41 fedora 204.9 KiB nettle x86_64 3.10-3.fc41 fedora 793.0 KiB nspr x86_64 4.35.0-28.fc41 fedora 320.4 KiB nss x86_64 3.103.0-1.fc41 fedora 1.9 MiB nss-softokn x86_64 3.103.0-1.fc41 fedora 1.9 MiB nss-softokn-freebl x86_64 3.103.0-1.fc41 fedora 783.6 KiB nss-sysinit x86_64 3.103.0-1.fc41 fedora 22.2 KiB nss-util x86_64 3.103.0-1.fc41 fedora 205.1 KiB openblas x86_64 0.3.26-5.fc41 fedora 96.0 KiB openblas-openmp x86_64 0.3.26-5.fc41 fedora 39.4 MiB openblas-openmp64 x86_64 0.3.26-5.fc41 fedora 39.5 MiB pango x86_64 1.54.0-2.fc41 fedora 996.2 KiB pcre2-devel x86_64 10.44-1.fc41.1 fedora 2.0 MiB pcre2-utf16 x86_64 10.44-1.fc41.1 fedora 590.1 KiB pcre2-utf32 x86_64 10.44-1.fc41.1 fedora 562.0 KiB pixman x86_64 0.43.4-2.fc41 fedora 718.1 KiB pixman-devel x86_64 0.43.4-2.fc41 fedora 49.4 KiB python-pip-wheel noarch 24.2-1.fc41 fedora 1.2 MiB python3 x86_64 3.13.0~rc1-3.fc42 fedora 31.8 KiB python3-libs x86_64 3.13.0~rc1-3.fc42 fedora 40.3 MiB python3-packaging noarch 24.1-2.fc41 fedora 422.3 KiB sysprof-capture-devel x86_64 47~beta-1.fc41 fedora 252.6 KiB tcl x86_64 1:8.6.14-2.fc41 fedora 4.2 MiB tcl-devel x86_64 1:8.6.14-2.fc41 fedora 791.3 KiB tk x86_64 1:8.6.14-2.fc41 fedora 3.6 MiB tk-devel x86_64 1:8.6.14-2.fc41 fedora 984.9 KiB tre x86_64 0.8.0-45.20140228gitc2f5d13.fc41 fedora 75.9 KiB tre-common noarch 0.8.0-45.20140228gitc2f5d13.fc41 fedora 81.0 KiB tre-devel x86_64 0.8.0-45.20140228gitc2f5d13.fc41 fedora 10.7 KiB ttmkfdir x86_64 3.0.9-71.fc41 fedora 122.7 KiB tzdata noarch 2024a-9.fc41 fedora 1.7 MiB tzdata-java noarch 2024a-9.fc41 fedora 101.7 KiB xdg-utils noarch 1.2.1-2.fc41 fedora 346.3 KiB xml-common noarch 0.6.3-65.fc41 fedora 78.4 KiB xorg-x11-fonts-Type1 noarch 7.5-39.fc41 fedora 863.3 KiB xorg-x11-proto-devel noarch 2024.1-3.fc41 fedora 1.7 MiB xz-devel x86_64 1:5.6.2-2.fc41 fedora 255.6 KiB zlib-ng-compat-devel x86_64 2.1.7-2.fc41 fedora 106.8 KiB Transaction Summary: Installing: 174 packages Total size of inbound packages is 288 MiB. Need to download 288 MiB. After this operation 905 MiB will be used (install 905 MiB, remove 0 B). [ 1/174] R-CRAN-Matrix-0:1.7.0-1.fc41. 100% | 79.4 MiB/s | 4.3 MiB | 00m00s [ 2/174] R-CRAN-r2r-0:0.1.1-1.fc41.cop 100% | 1.7 MiB/s | 99.6 KiB | 00m00s [ 3/174] R-CRAN-Rcpp-0:1.0.13-1.fc41.c 100% | 30.0 MiB/s | 2.0 MiB | 00m00s [ 4/174] R-CRAN-stringr-0:1.5.1-1.fc41 100% | 15.5 MiB/s | 318.0 KiB | 00m00s [ 5/174] R-devel-0:4.4.1-5.fc41.x86_64 100% | 387.0 KiB/s | 10.5 KiB | 00m00s [ 6/174] flexiblas-netlib-0:3.4.4-3.fc 100% | 189.3 MiB/s | 3.2 MiB | 00m00s [ 7/174] R-CRAN-RcppEigen-0:0.3.4.0.2- 100% | 16.1 MiB/s | 1.4 MiB | 00m00s [ 8/174] R-littler-0:0.3.19-5.fc41.x86 100% | 5.4 MiB/s | 71.3 KiB | 00m00s [ 9/174] R-CRAN-lattice-0:0.22.6-1.fc4 100% | 21.3 MiB/s | 1.4 MiB | 00m00s [ 10/174] R-CRAN-rlang-0:1.1.4-1.fc41.c 100% | 34.1 MiB/s | 1.7 MiB | 00m00s [ 11/174] R-CRAN-glue-0:1.7.0-1.fc41.co 100% | 5.1 MiB/s | 166.3 KiB | 00m00s [ 12/174] R-CRAN-stringi-0:1.8.4-1.fc41 100% | 44.7 MiB/s | 1.0 MiB | 00m00s [ 13/174] R-CRAN-lifecycle-0:1.0.4-1.fc 100% | 2.5 MiB/s | 130.2 KiB | 00m00s [ 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libX11-0:1.8.10-2. 100% | 321.4 MiB/s | 1.3 MiB | 00m00s [130/176] Installing libXext-0:1.3.6-2. 100% | 89.2 MiB/s | 91.3 KiB | 00m00s [131/176] Installing libXrender-0:0.9.1 100% | 50.2 MiB/s | 51.4 KiB | 00m00s [132/176] Installing cairo-0:1.18.0-4.f 100% | 249.1 MiB/s | 1.7 MiB | 00m00s [133/176] Installing libX11-devel-0:1.8 100% | 93.3 MiB/s | 1.1 MiB | 00m00s [134/176] Installing libXft-0:2.3.8-7.f 100% | 27.0 MiB/s | 166.0 KiB | 00m00s >>> Running pre-install scriptlet: tk-1:8.6.14-2.fc41.x86_64 >>> Stop pre-install scriptlet: tk-1:8.6.14-2.fc41.x86_64 [135/176] Installing tk-1:8.6.14-2.fc41 100% | 261.4 MiB/s | 3.7 MiB | 00m00s [136/176] Installing libXrender-devel-0 100% | 0.0 B/s | 51.0 KiB | 00m00s [137/176] Installing libXi-0:1.8.1-6.fc 100% | 79.9 MiB/s | 81.8 KiB | 00m00s [138/176] Installing libXt-0:1.3.0-4.fc 100% | 210.5 MiB/s | 431.1 KiB | 00m00s [139/176] Installing libXmu-0:1.2.1-2.f 100% | 189.0 MiB/s | 193.5 KiB | 00m00s [140/176] Installing libXtst-0:1.2.5-1. 100% | 33.8 MiB/s | 34.7 KiB | 00m00s [141/176] Installing pango-0:1.54.0-2.f 100% | 244.6 MiB/s | 1.0 MiB | 00m00s [142/176] Installing libXext-devel-0:1. 100% | 18.1 MiB/s | 110.9 KiB | 00m00s [143/176] Installing harfbuzz-cairo-0:9 100% | 51.8 MiB/s | 53.1 KiB | 00m00s [144/176] Installing fontconfig-devel-0 100% | 37.1 MiB/s | 151.9 KiB | 00m00s [145/176] Installing freetype-devel-0:2 100% | 462.1 MiB/s | 7.9 MiB | 00m00s [146/176] Installing cairo-devel-0:1.18 100% | 458.2 MiB/s | 2.3 MiB | 00m00s [147/176] Installing harfbuzz-devel-0:9 100% | 464.2 MiB/s | 5.1 MiB | 00m00s [148/176] Installing libXft-devel-0:2.3 100% | 21.6 MiB/s | 44.3 KiB | 00m00s [149/176] Installing tk-devel-1:8.6.14- 100% | 202.1 MiB/s | 1.0 MiB | 00m00s [150/176] Installing libXcomposite-0:0. 100% | 45.0 MiB/s | 46.1 KiB | 00m00s [151/176] Installing java-21-openjdk-1: 100% | 108.3 MiB/s | 1.1 MiB | 00m00s >>> Running post-install scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc41.x86_64 >>> Stop post-install scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc41.x86_64 [152/176] Installing java-21-openjdk-de 100% | 432.2 MiB/s | 11.2 MiB | 00m00s >>> Running post-install scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc41.x8 >>> Stop post-install scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc41.x86_6 [153/176] Installing less-0:661-2.fc41. 100% | 14.3 MiB/s | 408.6 KiB | 00m00s [154/176] Installing R-core-0:4.4.1-5.f 100% | 287.1 MiB/s | 103.7 MiB | 00m00s [155/176] Installing R-CRAN-rlang-0:1.1 100% | 180.6 MiB/s | 2.7 MiB | 00m00s [156/176] Installing R-CRAN-glue-0:1.7. 100% | 88.6 MiB/s | 272.2 KiB | 00m00s [157/176] Installing R-CRAN-cli-0:3.6.3 100% | 221.2 MiB/s | 2.4 MiB | 00m00s [158/176] Installing R-CRAN-lifecycle-0 100% | 96.3 MiB/s | 295.9 KiB | 00m00s [159/176] Installing R-core-devel-0:4.4 100% | 195.9 MiB/s | 401.3 KiB | 00m00s [160/176] Installing R-CRAN-vctrs-0:0.6 100% | 240.5 MiB/s | 2.4 MiB | 00m00s [161/176] Installing R-CRAN-lattice-0:0 100% | 208.1 MiB/s | 2.1 MiB | 00m00s [162/176] Installing R-littler-0:0.3.19 100% | 53.5 MiB/s | 164.4 KiB | 00m00s [163/176] Installing R-CRAN-Rcpp-0:1.0. 100% | 293.4 MiB/s | 8.5 MiB | 00m00s [164/176] Installing R-CRAN-stringi-0:1 100% | 207.2 MiB/s | 2.1 MiB | 00m00s [165/176] Installing R-rpm-macros-0:1.2 100% | 0.0 B/s | 6.6 KiB | 00m00s [166/176] Installing R-java-0:4.4.1-5.f 100% | 0.0 B/s | 124.0 B | 00m00s [167/176] Installing R-java-devel-0:4.4 100% | 0.0 B/s | 124.0 B | 00m00s [168/176] Installing R-CRAN-magrittr-0: 100% | 142.0 MiB/s | 436.3 KiB | 00m00s [169/176] Installing R-CRAN-digest-0:0. 100% | 166.4 MiB/s | 511.3 KiB | 00m00s [170/176] Installing R-CRAN-r2r-0:0.1.1 100% | 105.8 MiB/s | 216.7 KiB | 00m00s [171/176] Installing R-CRAN-stringr-0:1 100% | 164.4 MiB/s | 673.3 KiB | 00m00s [172/176] Installing R-devel-0:4.4.1-5. 100% | 121.1 KiB/s | 124.0 B | 00m00s [173/176] Installing R-CRAN-RcppEigen-0 100% | 268.8 MiB/s | 9.1 MiB | 00m00s [174/176] Installing R-CRAN-Matrix-0:1. 100% | 182.8 MiB/s | 8.4 MiB | 00m00s [175/176] Installing annobin-plugin-gcc 100% | 74.2 MiB/s | 987.3 KiB | 00m00s >>> Running trigger-install scriptlet: redhat-rpm-config-0:294-1.fc42.noarch >>> Stop trigger-install scriptlet: redhat-rpm-config-0:294-1.fc42.noarch [176/176] Installing gcc-plugin-annobin 100% | 186.0 KiB/s | 62.7 KiB | 00m00s >>> Running trigger-install scriptlet: redhat-rpm-config-0:294-1.fc42.noarch >>> Stop trigger-install scriptlet: redhat-rpm-config-0:294-1.fc42.noarch >>> Running post-transaction scriptlet: copy-jdk-configs-0:4.1-6.fc41.noarch >>> Stop post-transaction scriptlet: copy-jdk-configs-0:4.1-6.fc41.noarch >>> Running post-transaction scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2. >>> Stop post-transaction scriptlet: java-21-openjdk-headless-1:21.0.4.0.7-2.fc4 >>> Running post-transaction scriptlet: fontconfig-0:2.15.0-8.fc41.x86_64 >>> Stop post-transaction scriptlet: fontconfig-0:2.15.0-8.fc41.x86_64 >>> Running post-transaction scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc41.x86_ >>> Stop post-transaction scriptlet: java-21-openjdk-1:21.0.4.0.7-2.fc41.x86_64 >>> Running post-transaction scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc4 >>> Stop post-transaction scriptlet: java-21-openjdk-devel-1:21.0.4.0.7-2.fc41.x >>> Running trigger-install scriptlet: glibc-common-0:2.40-3.fc41.x86_64 >>> Stop trigger-install scriptlet: glibc-common-0:2.40-3.fc41.x86_64 >>> Running trigger-install scriptlet: info-0:7.1-3.fc41.x86_64 >>> Stop trigger-install scriptlet: info-0:7.1-3.fc41.x86_64 >>> Running trigger-install scriptlet: glib2-0:2.82.0-1.fc42.x86_64 >>> Stop trigger-install scriptlet: glib2-0:2.82.0-1.fc42.x86_64 >>> Running trigger-install scriptlet: glib2-0:2.82.0-1.fc42.x86_64 >>> Stop trigger-install scriptlet: glib2-0:2.82.0-1.fc42.x86_64 >>> Running trigger-install scriptlet: desktop-file-utils-0:0.27-2.fc41.x86_64 >>> Stop trigger-install scriptlet: desktop-file-utils-0:0.27-2.fc41.x86_64 >>> Running trigger-install scriptlet: fontconfig-0:2.15.0-8.fc41.x86_64 >>> Stop trigger-install scriptlet: fontconfig-0:2.15.0-8.fc41.x86_64 Warning: skipped PGP checks for 14 package(s). Finish: build setup for R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm Start: rpmbuild R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm Building target platforms: x86_64 Building for target x86_64 warning: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.y2CkQr + umask 022 + cd /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + test -d /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + /usr/bin/rm -rf /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + /usr/bin/mkdir -p /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + /usr/bin/mkdir -p /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.QK21pt + umask 022 + cd /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + cd /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + rm -rf adelie + /usr/bin/mkdir -p adelie + cd adelie + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/adelie_1.0.2.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + find -type f -executable -exec grep -Iq . '{}' ';' -exec sed -i -e '$a\' '{}' ';' + '[' -d adelie/src ']' + find adelie/src -type f -exec sed -i s@/usr/bin/strip@/usr/bin/true@g '{}' ';' + '[' -d adelie/src ']' + find adelie/src/Makevars adelie/src/Makevars.win -type f -exec sed -i s@-g0@@g '{}' ';' + find -type f -executable -exec sed -Ei 's@#!( )*/usr/local/bin@#!/usr/bin@g' '{}' ';' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.cnR9hb + umask 022 + cd /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd adelie + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.xXCLS6 + umask 022 + cd /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + '[' /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT ++ dirname /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT + mkdir -p /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + mkdir /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd adelie + mkdir -p /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT/usr/local/lib/R/library + /usr/bin/R CMD INSTALL -l /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT/usr/local/lib/R/library adelie * installing *source* package ‘adelie’ ... ** package ‘adelie’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++ (GCC) 14.2.1 20240801 (Red Hat 14.2.1-1)’ using C++17 g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c RcppExports.cpp -o RcppExports.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_configs.cpp -o rcpp_configs.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_configs.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_constraint.cpp -o rcpp_constraint.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_constraint.h:2, from rcpp_constraint.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ 58 | virtual void solve( | ^~~~~ rcpp_constraint.h:18:9: required from here 27 | if (!ptr) { \ | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ 58 | virtual void solve( | ^~~~~ rcpp_constraint.h:18:9: required from here 27 | if (!ptr) { \ | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ 58 | virtual void solve( | ^~~~~ rcpp_constraint.h:18:9: required from here 27 | if (!ptr) { \ | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_glm.cpp -o rcpp_glm.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_glm.h:2, from rcpp_glm.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ 22 | map_cvec_value_t y; | ^ rcpp_glm.h:164:39: required from here 164 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ 22 | map_cvec_value_t y; | ^ rcpp_glm.h:164:39: required from here 164 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ 22 | map_cvec_value_t y; | ^ rcpp_glm.h:164:39: required from here 164 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ rcpp_glm.h:166:27: required from here 166 | vec_value_t y() const { return ptr->y; } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_glm.h:173:29: required from here 173 | vec_value_t grad(eta.size()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:174:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 281 | template class Ref | ^~~ rcpp_glm.h:174:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ 23 | map_carr_value_t y; | ^ rcpp_glm.h:203:39: required from here 203 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ 23 | map_carr_value_t y; | ^ rcpp_glm.h:203:39: required from here 203 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ rcpp_glm.h:205:30: required from here 205 | colarr_value_t y() const { return ptr->y; } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ rcpp_glm.h:212:34: required from here 212 | colarr_value_t gradT(etaT.rows(), etaT.cols()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_glm.h:214:41: required from here 214 | Eigen::Map grad(gradT.data(), gradT.cols(), gradT.rows()); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:215:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_glm.h:215:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits >::Scalar = double]’ 288 | : Base(other.derived()) | ^ rcpp_glm.h:166:41: required from here 166 | vec_value_t y() const { return ptr->y; } | ~~~~~^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 371 | internal::call_assignment_no_alias(m_object,expr,internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 364 | construct(expr, internal::false_type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ 345 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:174:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:300:30: required from ‘static auto adelie_core::glm::GlmCox::init_weights_size_to(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 300 | vec_value_t::Ones(stop_to.size()), | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:368:45: required from ‘adelie_core::glm::GlmCox::GlmCox(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const std::string&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; std::string = std::__cxx11::basic_string]’ 368 | weights_size_to(init_weights_size_to( | ~~~~~~~~~~~~~~~~~~~~^ 369 | stop_to, status_to, weights_to | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | )), | ~ /usr/include/c++/14/bits/stl_construct.h:119:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/14/bits/shared_ptr_base.h:969:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 969 | auto __pi = ::new (__mem) | ^~~~~~~~~~~~~ 970 | _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr_base.h:1713:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 1713 | : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:463:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ 463 | : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...) | ^ /usr/include/c++/14/bits/shared_ptr.h:1007:14: required from ‘std::shared_ptr::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox]’ 1007 | return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a}, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1008 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ 41 | bname(std::make_shared(std::forward(args)...)) \ | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.cpp:31:71: required from here 31 | return new r_glm_cox_64_t(start, stop, status, weights, tie_method); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/14/bits/shared_ptr_base.h:969:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 969 | auto __pi = ::new (__mem) | ^~~~~~~~~~~~~ 970 | _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr_base.h:1713:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 1713 | : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:463:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ 463 | : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...) | ^ /usr/include/c++/14/bits/shared_ptr.h:1007:14: required from ‘std::shared_ptr::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox]’ 1007 | return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a}, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1008 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ 41 | bname(std::make_shared(std::forward(args)...)) \ | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.cpp:31:71: required from here 31 | return new r_glm_cox_64_t(start, stop, status, weights, tie_method); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/14/bits/shared_ptr_base.h:969:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 969 | auto __pi = ::new (__mem) | ^~~~~~~~~~~~~ 970 | _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr_base.h:1713:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 1713 | : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:463:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}; _Tp = adelie_core::glm::GlmCox]’ 463 | : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...) | ^ /usr/include/c++/14/bits/shared_ptr.h:1007:14: required from ‘std::shared_ptr::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::glm::GlmCox; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const __cxx11::basic_string, allocator >&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::glm::GlmCox]’ 1007 | return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a}, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1008 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:235:1: required from ‘RGlmCox64::RGlmCox64(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const std::__cxx11::basic_string, std::allocator >&}]’ 41 | bname(std::make_shared(std::forward(args)...)) \ | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.cpp:31:71: required from here 31 | return new r_glm_cox_64_t(start, stop, status, weights, tie_method); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ rcpp_glm.h:105:17: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 103 | grad = Rcpp::as>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 104 | ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ).matrix().transpose().array(); | ~~~~~~~~^~ rcpp_glm.h:97:10: required from here 97 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ rcpp_glm.h:105:29: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 103 | grad = Rcpp::as>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 104 | ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ).matrix().transpose().array(); | ~~~~~~~~~~~~~~~~~~~~^~ rcpp_glm.h:97:10: required from here 97 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ rcpp_glm.h:105:37: required from ‘void adelie_core::glm::GlmMultiS4::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 103 | grad = Rcpp::as>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 104 | ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, etaT_r) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ).matrix().transpose().array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ rcpp_glm.h:97:10: required from here 97 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:163:35: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 163 | check_inv_hessian_gradient(eta, grad, hess, inv_hess_grad); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 165 | hess.max(0) + | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 165 | hess.max(0) + | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:79: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 166 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 166 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 166 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 164 | inv_hess_grad = grad / ( | ~ 165 | hess.max(0) + | ~~~~~~~~~~~~^ 166 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 167 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 164 | inv_hess_grad = grad / ( | ~~~~~^~~ 165 | hess.max(0) + | ~~~~~~~~~~~~~ 166 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 167 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:23: required from ‘void adelie_core::glm::GlmMultiBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 164 | inv_hess_grad = grad / ( | ~~~~~~~~~~~~~~^~~~~~~~~~ 165 | hess.max(0) + | ~~~~~~~~~~~~~ 166 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 167 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:156:18: required from here 156 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:41: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 43 | eta_max = eta.rowwise().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:47: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 44 | grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp(); | ~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:59: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 44 | grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:67: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 44 | grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 44 | grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:31: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 44 | grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:44:74: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 44 | grad = (eta.colwise() - eta_max.matrix().transpose().array()).exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:37: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 46 | sum_exp = grad.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:33: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 48 | (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() * | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:16: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 48 | (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() * | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:27: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 49 | weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:39: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 49 | weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:47: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 49 | weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 48 | (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 49 | weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:48:83: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 48 | (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 49 | weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:49:50: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 47 | grad = ( | ~ 48 | (y - grad.colwise() / sum_exp.matrix().transpose().array()).colwise() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 49 | weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ 50 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:25: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 62 | y.colwise() * weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:62:64: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 62 | y.colwise() * weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:63:13: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 61 | hess = ( | ~ 62 | y.colwise() * weights.matrix().transpose().array() / eta.cols() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 63 | - grad | ^~~~~~ 64 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:65: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:26: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:75: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:87: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:68:95: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 66 | hess *= 2 * (1 - grad.cols() * ( | ~ 67 | hess.colwise() / | ~~~~~~~~~~~~~~~^ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | ) | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:67:32: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 66 | hess *= 2 * (1 - grad.cols() * ( | ~ 67 | hess.colwise() / | ~~~~~~~~~~~~~~~^ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | ) | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:38: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 66 | hess *= 2 * (1 - grad.cols() * ( | ~~~~~~~~~~~~^~~ 67 | hess.colwise() / | ~~~~~~~~~~~~~~~~ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | ) | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:24: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 66 | hess *= 2 * (1 - grad.cols() * ( | ~~~^~~~~~~~~~~~~~~~~ 67 | hess.colwise() / | ~~~~~~~~~~~~~~~~ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | ) | ~ 70 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::Replicate, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >, 1, -1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:66:19: required from ‘void adelie_core::glm::GlmMultinomial::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 66 | hess *= 2 * (1 - grad.cols() * ( | ~~^~~~~~~~~~~~~~~~~~~~~~ 67 | hess.colwise() / | ~~~~~~~~~~~~~~~~ 68 | (weights + (weights <= 0).template cast()).matrix().transpose().array() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 69 | ) | ~ 70 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:53:10: required from here 53 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:22: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 84 | - (y * eta_shift).rowwise().sum() | ~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:48: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:84:17: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 84 | - (y * eta_shift).rowwise().sum() | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:32: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:48: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:54: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:85:17: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 83 | weights.matrix().transpose().array() * ( | ~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:83:50: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 82 | return ( | ~ 83 | weights.matrix().transpose().array() * ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ 87 | ).sum() / y.cols(); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:19: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 31 | grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols(); | ~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here 25 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:35: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 31 | grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols(); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here 25 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:31:75: required from ‘void adelie_core::glm::GlmMultiGaussian::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 31 | grad = ((y-eta).colwise() * weights.matrix().transpose().array()) / eta.cols(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:25:10: required from here 25 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 41 | hess.colwise() = weights.matrix().transpose().array() / hess.cols(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here 34 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:63: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 41 | hess.colwise() = weights.matrix().transpose().array() / hess.cols(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here 34 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:30: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:18: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:37: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:33: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:51:57: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:50:50: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 49 | return ( | ~ 50 | weights.matrix().transpose().array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | ).sum() / y.cols(); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:22: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase]’ 58 | (y.square().colwise() * weights.matrix().transpose().array()).sum() | ~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13: required from here 55 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:58:35: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase]’ 58 | (y.square().colwise() * weights.matrix().transpose().array()).sum() | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:55:13: required from here 55 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:147:35: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 147 | check_inv_hessian_gradient(eta, grad, hess, inv_hess_grad); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here 140 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 149 | hess.max(0) + | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here 140 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:79: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here 140 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here 140 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here 140 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 148 | inv_hess_grad = grad / ( | ~ 149 | hess.max(0) + | ~~~~~~~~~~~~^ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here 140 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 148 | inv_hess_grad = grad / ( | ~~~~~^~~ 149 | hess.max(0) + | ~~~~~~~~~~~~~ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:140:18: required from here 140 | virtual void inv_hessian_gradient( | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:38: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 30 | grad = weights * (y - eta.exp()); | ~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here 24 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:29: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 30 | grad = weights * (y - eta.exp()); | ~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here 24 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:30:24: required from ‘void adelie_core::glm::GlmPoisson::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 30 | grad = weights * (y - eta.exp()); | ~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:24:10: required from here 24 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:24: required from ‘void adelie_core::glm::GlmPoisson::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 40 | hess = weights * y - grad; | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10: required from here 33 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:40:28: required from ‘void adelie_core::glm::GlmPoisson::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 40 | hess = weights * y - grad; | ~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:33:10: required from here 33 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:29: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 49 | return (weights * ((-eta).min(std::numeric_limits::max()) * y + eta.exp())).sum(); | ~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:38: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 49 | return (weights * ((-eta).min(std::numeric_limits::max()) * y + eta.exp())).sum(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:76: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 49 | return (weights * ((-eta).min(std::numeric_limits::max()) * y + eta.exp())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:80: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 49 | return (weights * ((-eta).min(std::numeric_limits::max()) * y + eta.exp())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:25: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 49 | return (weights * ((-eta).min(std::numeric_limits::max()) * y + eta.exp())).sum(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:35: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 54 | return (weights * ((-y.log()).min(std::numeric_limits::max()) * y + y)).sum(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here 52 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:29: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 54 | return (weights * ((-y.log()).min(std::numeric_limits::max()) * y + y)).sum(); | ~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here 52 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:42: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 54 | return (weights * ((-y.log()).min(std::numeric_limits::max()) * y + y)).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here 52 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:80: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 54 | return (weights * ((-y.log()).min(std::numeric_limits::max()) * y + y)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here 52 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:84: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 54 | return (weights * ((-y.log()).min(std::numeric_limits::max()) * y + y)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here 52 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:25: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 54 | return (weights * ((-y.log()).min(std::numeric_limits::max()) * y + y)).sum(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here 52 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:29: required from ‘void adelie_core::glm::GlmGaussian::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 30 | grad = weights * (y - eta); | ~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10: required from here 24 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:30:24: required from ‘void adelie_core::glm::GlmGaussian::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 30 | grad = weights * (y - eta); | ~~~~~~~~^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:24:10: required from here 24 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:44: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 48 | return (weights * (0.5 * eta.square() - y * eta)).sum(); | ~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:32: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 48 | return (weights * (0.5 * eta.square() - y * eta)).sum(); | ~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:51: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 48 | return (weights * (0.5 * eta.square() - y * eta)).sum(); | ~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:47: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 48 | return (weights * (0.5 * eta.square() - y * eta)).sum(); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:25: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 48 | return (weights * (0.5 * eta.square() - y * eta)).sum(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:32: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 53 | return -0.5 * (y.square() * weights).sum(); | ~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here 51 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:35: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 53 | return -0.5 * (y.square() * weights).sum(); | ~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here 51 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:399:21: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 399 | z = weights * eta.exp(); | ~~~~~~~~^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:48: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 424 | risk_total_to = risk_sum_to - scale_to * ties_risk_sum_to; | ~~~~~~~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:424:37: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 424 | risk_total_to = risk_sum_to - scale_to * ties_risk_sum_to; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:27: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 428 | _v_to = status_to * weights_mean_to / ( | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:96: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 429 | risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:429:27: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 428 | _v_to = status_to * weights_mean_to / ( | ~ 429 | risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast() | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 430 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:428:45: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 428 | _v_to = status_to * weights_mean_to / ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 429 | risk_total_to + ((status_to == 0) || (weights_mean_to == 0)).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 430 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:40: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 442 | grad = weights * status - grad * z; | ~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:442:33: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 442 | grad = weights * status - grad * z; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:33: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 484 | risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast() | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here 445 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:484:36: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 483 | _v_to = status_to * weights_mean_to / ( | ~ 484 | risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 485 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here 445 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:483:45: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 483 | _v_to = status_to * weights_mean_to / ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 484 | risk_total_to.square() + ((status_to == 0) || (weights_mean_to == 0)).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 485 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here 445 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:32: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 491 | _v_to *= scale_to * (2 - scale_to); | ~~~^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here 445 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:491:27: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 491 | _v_to *= scale_to * (2 - scale_to); | ~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here 445 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:47: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 497 | hess = weights * status - grad - hess * z.square(); | ~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here 445 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:497:40: required from ‘void adelie_core::glm::GlmCox::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 497 | hess = weights * status - grad - hess * z.square(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:445:10: required from here 445 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:27: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 509 | z = weights * (eta-eta_max).exp(); | ~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:40: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 509 | z = weights * (eta-eta_max).exp(); | ~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:509:21: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 509 | z = weights * (eta-eta_max).exp(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:33: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 532 | - (status * weights * (eta-eta_max)).sum() | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:64: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 534 | (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:71: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 534 | (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:534:77: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 534 | (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:533:44: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | + (status_to * weights_mean_to * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 534 | (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | ).sum() | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:48: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 544 | (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here 539 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:69: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 544 | (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here 539 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:544:75: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 544 | (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here 539 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:543:41: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 542 | return ( | ~ 543 | weights_mean_to * status_to * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 544 | (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 545 | ).sum(); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here 539 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:30: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | return 0.5 * (1 + (x / sqrt_2).erf()); | ~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 136 | grad = std_cdf(eta); | ~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:43: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | return 0.5 * (1 + (x / sqrt_2).erf()); | ~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 136 | grad = std_cdf(eta); | ~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:25: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | return 0.5 * (1 + (x / sqrt_2).erf()); | ~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 136 | grad = std_cdf(eta); | ~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:107:20: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_cdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | return 0.5 * (1 + (x / sqrt_2).erf()); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:136:23: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 136 | grad = std_cdf(eta); | ~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:54: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_pdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 115 | return sqrt_2pi_inv * (-0.5 * x.square()).exp(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 137 | grad = weights * std_pdf(eta) * ( | ~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:115:29: required from ‘static auto adelie_core::glm::GlmBinomialProbit::std_pdf(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 115 | return sqrt_2pi_inv * (-0.5 * x.square()).exp(); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:33: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 137 | grad = weights * std_pdf(eta) * ( | ~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:24: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 137 | grad = weights * std_pdf(eta) * ( | ~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:20: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:31: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~~~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:15: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:41: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:54: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:50: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~~^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:65: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~~~~~~~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:45: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:138:37: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 137 | grad = weights * std_pdf(eta) * ( | ~ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 139 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:137:39: required from ‘void adelie_core::glm::GlmBinomialProbit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 137 | grad = weights * std_pdf(eta) * ( | ~~~~~~~~~~~~~~~~~~~~~~~^~~ 138 | y * (1 / grad).min(max) - (1-y) * (1 / (1-grad)).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 139 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:129:10: required from here 129 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:33: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:20: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:40: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:15: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:76: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:59: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~^~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:83: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:54: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:152:46: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 151 | hess = weights * ( | ~ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 153 | ) * std_pdf(eta).square() + eta * grad; | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:151:24: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 151 | hess = weights * ( | ~~~~~~~~^~~ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 153 | ) * std_pdf(eta).square() + eta * grad; | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:32: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 153 | ) * std_pdf(eta).square() + eta * grad; | ~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:11: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 151 | hess = weights * ( | ~~~~~~~~~~~ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 153 | ) * std_pdf(eta).square() + eta * grad; | ~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:41: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 153 | ) * std_pdf(eta).square() + eta * grad; | ~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:153:35: required from ‘void adelie_core::glm::GlmBinomialProbit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 151 | hess = weights * ( | ~~~~~~~~~~~ 152 | y * (1 / hess.square()).min(max) + (1-y) * (1 / (1-hess).square()).min(max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 153 | ) * std_pdf(eta).square() + eta * grad; | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:142:10: required from here 142 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:26: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:32: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:15: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:62: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:68: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~~~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:47: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:164:39: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 163 | return -(weights * ( | ~ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | )).sum(); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:163:26: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 163 | return -(weights * ( | ~~~~~~~~~^~~ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | )).sum(); | ~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:50: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 58 | grad = weights * (y - 1 / (1 + (-eta).exp())); | ~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here 52 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:38: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 58 | grad = weights * (y - 1 / (1 + (-eta).exp())); | ~~~^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here 52 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:33: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 58 | grad = weights * (y - 1 / (1 + (-eta).exp())); | ~~^~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here 52 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:29: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 58 | grad = weights * (y - 1 / (1 + (-eta).exp())); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here 52 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:58:24: required from ‘void adelie_core::glm::GlmBinomialLogit::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 58 | grad = weights * (y - 1 / (1 + (-eta).exp())); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:52:10: required from here 52 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:32: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 70 | hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast()); | ~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here 61 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:22: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 70 | hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast()); | ~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here 61 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:70:40: required from ‘void adelie_core::glm::GlmBinomialLogit::hessian(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 70 | hess = (hess * (weights-hess)) / (weights + (weights <= 0).template cast()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:61:10: required from here 61 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:46: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 80 | ((eta > 0).template cast() - y) * eta.min(max).max(-max) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:49: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 80 | ((eta > 0).template cast() - y) * eta.min(max).max(-max) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:63: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 80 | ((eta > 0).template cast() - y) * eta.min(max).max(-max) + | ~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:72: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 80 | ((eta > 0).template cast() - y) * eta.min(max).max(-max) + | ~~~~~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:54: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 80 | ((eta > 0).template cast() - y) * eta.min(max).max(-max) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:27: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 81 | (1 + (-eta.abs()).exp()).log() | ~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:19: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 81 | (1 + (-eta.abs()).exp()).log() | ~^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:34: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 81 | (1 + (-eta.abs()).exp()).log() | ~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:16: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 81 | (1 + (-eta.abs()).exp()).log() | ~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:81:41: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 81 | (1 + (-eta.abs()).exp()).log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:80:79: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 79 | return (weights * ( | ~ 80 | ((eta > 0).template cast() - y) * eta.min(max).max(-max) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 81 | (1 + (-eta.abs()).exp()).log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 82 | )).sum(); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:79:25: required from ‘typename adelie_core::glm::GlmBinomialLogit::base_t::value_t adelie_core::glm::GlmBinomialLogit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 79 | return (weights * ( | ~~~~~~~~~^~~ 80 | ((eta > 0).template cast() - y) * eta.min(max).max(-max) + | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 81 | (1 + (-eta.abs()).exp()).log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 82 | )).sum(); | ~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 1, -1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:584:35: required from ‘ExpressionType& Eigen::VectorwiseOp::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; ExpressionType = Eigen::Ref, 0, Eigen::OuterStride<> >; int Direction = 0]’ 584 | return m_matrix = extendedTo(other.derived()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:41:24: required from ‘void adelie_core::glm::GlmMultiGaussian::hessian(const Eigen::Ref::rowarr_value_t>&, const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 41 | hess.colwise() = weights.matrix().transpose().array() / hess.cols(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:34:10: required from here 34 | void hessian( | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:20: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 134 | out = out1.head(m) - out2.head(m); | ~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 405 | cox::_at_risk_sum( | ~~~~~~~~~~~~~~~~~^ 406 | [&](auto i) { return z[start_order[i]]; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 407 | [&](auto i) { return z[stop_order[i]]; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 408 | start_so, | ~~~~~~~~~ 409 | stop_to, | ~~~~~~~~ 410 | stop_to, | ~~~~~~~~ 411 | risk_sum_to, | ~~~~~~~~~~~~ 412 | risk_sum1_to, | ~~~~~~~~~~~~~ 413 | risk_sum2_to | ~~~~~~~~~~~~ 414 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:24: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 134 | out = out1.head(m) - out2.head(m); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 405 | cox::_at_risk_sum( | ~~~~~~~~~~~~~~~~~^ 406 | [&](auto i) { return z[start_order[i]]; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 407 | [&](auto i) { return z[stop_order[i]]; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 408 | start_so, | ~~~~~~~~~ 409 | stop_to, | ~~~~~~~~ 410 | stop_to, | ~~~~~~~~ 411 | risk_sum_to, | ~~~~~~~~~~~~ 412 | risk_sum1_to, | ~~~~~~~~~~~~~ 413 | risk_sum2_to | ~~~~~~~~~~~~ 414 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 43 | eta_max = eta.rowwise().maxCoeff(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::InnerStride<1> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:42:14: required from ‘void adelie_core::glm::GlmS4::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 42 | grad = Rcpp::as>( | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | ADELIE_CORE_S4_PURE_OVERRIDE(gradient, _glm, eta_r) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | ); | ~ rcpp_glm.h:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:49:97: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 49 | return (weights * ((-eta).min(std::numeric_limits::max()) * y + eta.exp())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:54:93: required from ‘typename adelie_core::glm::GlmPoisson::base_t::value_t adelie_core::glm::GlmPoisson::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 54 | return (weights * ((-y.log()).min(std::numeric_limits::max()) * y + y)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_poisson.hpp:52:13: required from here 52 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::InnerStride<1> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:48:62: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 48 | return (weights * (0.5 * eta.square() - y * eta)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:43:13: required from here 43 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:53:49: required from ‘typename adelie_core::glm::GlmGaussian::base_t::value_t adelie_core::glm::GlmGaussian::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 53 | return -0.5 * (y.square() * weights).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_gaussian.hpp:51:13: required from here 51 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:532:53: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 532 | - (status * weights * (eta-eta_max)).sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:535:18: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | + (status_to * weights_mean_to * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | (risk_sum_to - scale_to * ties_risk_sum_to).max(0).log().max(neg_max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | ).sum() | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:545:14: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss_full() [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase]’ 542 | return ( | ~ 543 | weights_mean_to * status_to * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 544 | (weights_size_to * weights_mean_to * (1 - scale_to)).log().max(most_neg) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 545 | ).sum(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:539:13: required from here 539 | value_t loss_full() override | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:165:15: required from ‘typename adelie_core::glm::GlmBinomialProbit::base_t::value_t adelie_core::glm::GlmBinomialProbit::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 163 | return -(weights * ( | ~~~~~~~~~~~~ 164 | y * _buff.log().max(-max) + (1-y) * (1-_buff).log().max(-max) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | )).sum(); | ~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_binomial.hpp:156:13: required from here 156 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Ref, 0, Eigen::InnerStride<1> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::InnerStride<1> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:507:42: required from ‘typename adelie_core::glm::GlmCox::base_t::value_t adelie_core::glm::GlmCox::loss(const Eigen::Ref::vec_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmBase; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 507 | const auto eta_max = eta.maxCoeff(); | ~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:500:13: required from here 500 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 49 | return ( | ~ 50 | weights.matrix().transpose().array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:134:9: required from ‘void adelie_core::glm::cox::_at_risk_sum(const ASType&, const ATType&, const SType&, const TType&, const UType&, OutType&, Out1Type&, Out2Type&) [with ASType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; ATType = adelie_core::glm::GlmCox::gradient(const Eigen::Ref, 0, Eigen::InnerStride<1> >&, Eigen::Ref, 0, Eigen::InnerStride<1> >)::; SType = Eigen::Array; TType = Eigen::Array; UType = Eigen::Array; OutType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; Out2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 134 | out = out1.head(m) - out2.head(m); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:405:26: required from ‘void adelie_core::glm::GlmCox::gradient(const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; typename adelie_core::glm::GlmBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 405 | cox::_at_risk_sum( | ~~~~~~~~~~~~~~~~~^ 406 | [&](auto i) { return z[start_order[i]]; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 407 | [&](auto i) { return z[stop_order[i]]; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 408 | start_so, | ~~~~~~~~~ 409 | stop_to, | ~~~~~~~~ 410 | stop_to, | ~~~~~~~~ 411 | risk_sum_to, | ~~~~~~~~~~~~ 412 | risk_sum1_to, | ~~~~~~~~~~~~~ 413 | risk_sum2_to | ~~~~~~~~~~~~ 414 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_cox.hpp:391:10: required from here 391 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 43 | eta_max = eta.rowwise().maxCoeff(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 46 | sum_exp = grad.rowwise().sum(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 82 | return ( | ~ 83 | weights.matrix().transpose().array() * ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ 87 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ 769 | return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 82 | return ( | ~ 83 | weights.matrix().transpose().array() * ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ 87 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 49 | return ( | ~ 50 | weights.matrix().transpose().array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 46 | sum_exp = grad.rowwise().sum(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 82 | return ( | ~ 83 | weights.matrix().transpose().array() * ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ 87 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ 769 | return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 82 | return ( | ~ 83 | weights.matrix().transpose().array() * ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ 87 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::PartialReduxExpr, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Ref, 0, Eigen::OuterStride<> > > >, Eigen::internal::member_sum, 1> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:52:14: required from ‘typename adelie_core::glm::GlmMultiGaussian::base_t::value_t adelie_core::glm::GlmMultiGaussian::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 49 | return ( | ~ 50 | weights.matrix().transpose().array() * | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | (0.5 * eta.square() - y * eta).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multigaussian.hpp:44:13: required from here 44 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1: required from ‘ResultType Eigen::internal::member_maxCoeff::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 43 | eta_max = eta.rowwise().maxCoeff(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Ref, 0, Eigen::OuterStride<> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:46:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 46 | sum_exp = grad.rowwise().sum(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 82 | return ( | ~ 83 | weights.matrix().transpose().array() * ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ 87 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69: required from ‘Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; Rhs = const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > >; CoeffReturnType = double; Eigen::Index = long int]’ 769 | return m_d.func()(m_d.lhsImpl.coeff(row, col), m_d.rhsImpl.coeff(row, col)); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; CoeffReturnType = double; Eigen::Index = long int]’ 381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); } | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > > >; Scalar = double]’ 202 | res = eval.coeffByOuterInner(0, 0); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> >, const Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 1> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:87:14: required from ‘typename adelie_core::glm::GlmMultinomial::base_t::value_t adelie_core::glm::GlmMultinomial::loss(const Eigen::Ref::rowarr_value_t>&) [with ValueType = double; typename base_t::value_t = double; base_t = adelie_core::glm::GlmMultiBase; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 82 | return ( | ~ 83 | weights.matrix().transpose().array() * ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 84 | - (y * eta_shift).rowwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 85 | + eta_shift.exp().rowwise().sum().log() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 86 | ) | ~ 87 | ).sum() / y.cols(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:73:13: required from here 73 | value_t loss( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:116:1: required from ‘ResultType Eigen::internal::member_maxCoeff::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, member_maxCoeff, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::OuterStride<> >, Eigen::internal::member_maxCoeff, 1>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:43:17: required from ‘void adelie_core::glm::GlmMultinomial::gradient(const Eigen::Ref::rowarr_value_t>&, Eigen::Ref::rowarr_value_t>) [with ValueType = double; typename adelie_core::glm::GlmMultiBase::rowarr_value_t = Eigen::Array; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>; typename Eigen::internal::conditional::rowarr_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 43 | eta_max = eta.rowwise().maxCoeff(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multinomial.hpp:36:10: required from here 36 | void gradient( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_io.cpp -o rcpp_io.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_io.h:2, from rcpp_io.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here 91 | Eigen::Ref> impute, | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here 91 | Eigen::Ref> impute, | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref >’ 281 | template class Ref | ^~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here 93 | ) | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5: required from here 237 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_io.h:29:5: required from here 29 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_io.h:29:5: required from here 29 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ 344 | compute_impute(calldata, impute_method, impute, n_threads); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_matrix.cpp -o rcpp_matrix.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_matrix.h:2, from rcpp_matrix.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here 91 | Eigen::Ref> impute, | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:40: required from here 91 | Eigen::Ref> impute, | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref >’ 281 | template class Ref | ^~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here 93 | ) | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5: required from here 237 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_io.h:29:5: required from here 29 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_io.h:29:5: required from here 29 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_base.hpp:96:18: required from ‘class adelie_core::matrix::MatrixCovBase’ 96 | virtual void to_dense( | ^~~~~~~~ rcpp_matrix.h:244:34: required from here 244 | int cols() const { return ptr->cols(); } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ 186 | virtual void sp_btmul( | ^~~~~~~~ rcpp_matrix.h:269:34: required from here 269 | int rows() const { return ptr->rows(); } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_matrix.h:289:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ rcpp_matrix.h:297:35: required from here 297 | dense_64F_t outT(rows(), v.rows()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_matrix.h:299:40: required from here 299 | Eigen::Map out(outT.data(), outT.cols(), outT.rows()); | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_matrix.h:300:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ 26 | const Eigen::Map _mat; // (n, d) underlying matrix | ^~~~ rcpp_matrix.h:314:1: required from here 315 | auto groups() const { return dynamic_cast(*ptr).groups(); } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_matrix.cpp:25:35: required from here 25 | const Eigen::Map mat = args["mat"]; | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ 344 | compute_impute(calldata, impute_method, impute, n_threads); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:24:38: required from ‘class adelie_core::matrix::MatrixCovSparse, int>’ 24 | const Eigen::Map _mat; // underlying sparse matrix | ^~~~ /usr/include/c++/14/type_traits:1499:30: required from ‘struct std::is_convertible, int>*, adelie_core::matrix::MatrixCovBase*>’ 1499 | : public __bool_constant<__is_convertible(_From, _To)> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr_base.h:1270:12: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/14/type_traits:1110:25: required by substitution of ‘template using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr, int> >&}]’ 1110 | = __bool_constant<__is_constructible(_Tp, _Args...)>; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/type_traits:1115:12: required from ‘struct std::is_constructible, __gnu_cxx::_S_atomic>, const std::shared_ptr, int> >&>’ 1115 | struct is_constructible | ^~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:178:8: required by substitution of ‘template template using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if, _Args ...>::value>::type [with _Args = {const std::shared_ptr, int> >&}; _Tp = adelie_core::matrix::MatrixCovBase]’ 178 | using _Constructible = typename enable_if< | ^~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:349:9: required by substitution of ‘template std::shared_ptr >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixCovSparse, int>; = ]’ 349 | typename = _Constructible&>> | ^~~~~~~~ rcpp_matrix.h:308:1: required from ‘RMatrixCovSparse64F::RMatrixCovSparse64F(Args&& ...) [with Args = {const long unsigned int&, const long unsigned int&, const long unsigned int&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ 41 | bname(std::make_shared(std::forward(args)...)) \ | ^ rcpp_matrix.cpp:46:89: required from here 46 | return new r_matrix_cov_sparse_64F_t(rows, cols, nnz, outer, inner, value, n_threads); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:24:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/14/type_traits:1110:25: required by substitution of ‘template using std::__is_constructible_impl = std::__bool_constant<__is_constructible(_Tp, _Args ...)> [with _Tp = std::__shared_ptr, __gnu_cxx::_S_atomic>; _Args = {const std::shared_ptr >&}]’ 1110 | = __bool_constant<__is_constructible(_Tp, _Args...)>; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/type_traits:1115:12: required from ‘struct std::is_constructible, __gnu_cxx::_S_atomic>, const std::shared_ptr >&>’ 1115 | struct is_constructible | ^~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:178:8: required by substitution of ‘template template using std::shared_ptr<_Tp>::_Constructible = typename std::enable_if, _Args ...>::value>::type [with _Args = {const std::shared_ptr >&}; _Tp = adelie_core::matrix::MatrixNaiveBase]’ 178 | using _Constructible = typename enable_if< | ^~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:349:9: required by substitution of ‘template std::shared_ptr >::shared_ptr(const std::shared_ptr<_Tp>&) [with _Yp = adelie_core::matrix::MatrixNaiveStandardize; = ]’ 349 | typename = _Constructible&>> | ^~~~~~~~ rcpp_matrix.h:327:1: required from ‘RMatrixNaiveStandardize64::RMatrixNaiveStandardize64(Args&& ...) [with Args = {adelie_core::matrix::MatrixNaiveBase&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ 41 | bname(std::make_shared(std::forward(args)...)) \ | ^ rcpp_matrix.cpp:149:85: required from here 149 | return new r_matrix_naive_standardize_64_t(*mat->ptr, centers, scales, n_threads); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 371 | internal::call_assignment_no_alias(m_object,expr,internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 364 | construct(expr, internal::false_type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits > >::match, 0, Eigen::Stride<0, 0> > >]’ 345 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_matrix.h:252:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/14/bits/shared_ptr_base.h:969:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense, int>; _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 969 | auto __pi = ::new (__mem) | ^~~~~~~~~~~~~ 970 | _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr_base.h:1713:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 1713 | : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:463:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixCovDense, int>]’ 463 | : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...) | ^ /usr/include/c++/14/bits/shared_ptr.h:1007:14: required from ‘std::shared_ptr::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixCovDense, int>; _Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::matrix::MatrixCovDense, int>]’ 1007 | return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a}, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1008 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_matrix.h:306:1: required from ‘RMatrixCovDense64F::RMatrixCovDense64F(Args&& ...) [with Args = {const Eigen::Map, 0, Eigen::Stride<0, 0> >&, const long unsigned int&}]’ 41 | bname(std::make_shared(std::forward(args)...)) \ | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_matrix.cpp:27:55: required from here 27 | return new r_matrix_cov_dense_64F_t(mat, n_threads); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:75:27: required from ‘adelie_core::matrix::MatrixNaiveSNPUnphased::MatrixNaiveSNPUnphased(const io_t&, size_t) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; io_t = adelie_core::io::IOSNPUnphased >; size_t = long unsigned int]’ 75 | _vbuff.setConstant(_max); | ~~~~~~~~~~~~~~~~~~^~~~~~ /usr/include/c++/14/bits/stl_construct.h:119:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/include/c++/14/bits/shared_ptr_base.h:969:16: required from ‘std::__shared_count<_Lp>::__shared_count(_Tp*&, std::_Sp_alloc_shared_tag<_Alloc>, _Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 969 | auto __pi = ::new (__mem) | ^~~~~~~~~~~~~ 970 | _Sp_cp_type(__a._M_a, std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr_base.h:1713:14: required from ‘std::__shared_ptr<_Tp, _Lp>::__shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; __gnu_cxx::_Lock_policy _Lp = __gnu_cxx::_S_atomic]’ 1713 | : _M_ptr(), _M_refcount(_M_ptr, __tag, std::forward<_Args>(__args)...) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/shared_ptr.h:463:59: required from ‘std::shared_ptr<_Tp>::shared_ptr(std::_Sp_alloc_shared_tag<_Tp>, _Args&& ...) [with _Alloc = std::allocator; _Args = {const RIOSNPUnphased&, const long unsigned int&}; _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>]’ 463 | : __shared_ptr<_Tp>(__tag, std::forward<_Args>(__args)...) | ^ /usr/include/c++/14/bits/shared_ptr.h:1007:14: required from ‘std::shared_ptr::value), _Tp>::type> std::make_shared(_Args&& ...) [with _Tp = adelie_core::matrix::MatrixNaiveSNPUnphased, int>; _Args = {const RIOSNPUnphased&, const long unsigned int&}; typename enable_if<(! is_array<_Tp>::value), _Tp>::type = adelie_core::matrix::MatrixNaiveSNPUnphased, int>]’ 1007 | return shared_ptr<_Tp>(_Sp_alloc_shared_tag<_Alloc>{__a}, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1008 | std::forward<_Args>(__args)...); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_matrix.h:325:1: required from ‘RMatrixNaiveSNPUnphased64::RMatrixNaiveSNPUnphased64(Args&& ...) [with Args = {const RIOSNPUnphased&, const long unsigned int&}]’ 41 | bname(std::make_shared(std::forward(args)...)) \ | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_matrix.cpp:121:63: required from here 121 | return new r_matrix_naive_snp_unphased_64_t(*io, n_threads); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ rcpp_matrix.h:203:20: required from ‘void adelie_core::matrix::MatrixNaiveS4::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 201 | out = Rcpp::as( | ~~~~~~~~~~~~~~~~~~~~~~~~~ 202 | ADELIE_CORE_S4_PURE_OVERRIDE(sp_btmul, _mat, v) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 203 | ).transpose(); | ~~~~~~~~~~~^~ rcpp_matrix.h:196:10: required from here 196 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:409:18: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 409 | _mat->cov(j, q, _buffer, out, cov_buffer); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10: required from here 385 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from rcpp_matrix.h:12: ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp: In instantiation of ‘void adelie_core::matrix::MatrixNaiveRSubset::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’: ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:385:10: required from here 385 | void cov( | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:176:36: note: initializing argument 4 of ‘void adelie_core::matrix::MatrixNaiveBase::cov(int, int, const Eigen::Ref >&, Eigen::Ref >, Eigen::Ref >) [with ValueType = double; IndexType = int; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 176 | Eigen::Ref out, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:20: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 423 | out.col(i) = _out.col(_subset[i]); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here 412 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:34: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 423 | out.col(i) = _out.col(_subset[i]); | ~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here 412 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:130:44: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 130 | auto curr_out = out.segment(n_processed, size); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10: required from here 114 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:131:27: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 131 | _mat->bmul(_subset[k], size, v, weights, curr_out); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:114:10: required from here 114 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:152:46: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 152 | const auto curr_v = v.segment(n_processed, size); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here 137 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator >, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 153 | _mat->btmul(_subset[k], size, curr_v, out); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here 137 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match >, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block >, 1, -1, false>]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:153:28: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 153 | _mat->btmul(_subset[k], size, curr_v, out); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:137:10: required from here 137 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:226:30: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ 226 | auto out_k = out.row(k); | ~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 233 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here 215 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:23: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ 229 | _mat->ctmul(_subset[it.index()], it.value(), out_k); | ~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 233 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here 215 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:229:23: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ 229 | _mat->ctmul(_subset[it.index()], it.value(), out_k); | ~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 233 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here 215 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:41: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 68 | (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here 59 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:86:37: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 86 | vec_value_t::NullaryExpr(out.size(), [&](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 87 | return vsc; | ~~~~~~~~~~~ 88 | }), | ~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here 73 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:102:40: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 102 | const auto c = _centers.segment(j, q); | ~~~~~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dvveq(out, (out - vw_sum * c) / s, _n_threads); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dvveq(out, (out - vw_sum * c) / s, _n_threads); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dvveq(out, (out - vw_sum * c) / s, _n_threads); | ~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:39: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dvveq(out, (out - vw_sum * c) / s, _n_threads); | ~~~~~~~~~~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:117:32: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 117 | auto vs = _buff.segment(0, q); | ~~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:21: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 119 | dvveq(vs, v / s, _n_threads); | ~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits > >::match, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:120:20: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 120 | _mat->btmul(j, q, vs, out); | ~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:123:42: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:124:22: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 124 | vs.matrix(), | ~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:131:37: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 131 | vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }), | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:34: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 144 | dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads); | ~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here 136 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 144 | dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here 136 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:46: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 144 | dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here 136 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:60: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:88: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:83: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 180 | out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum()); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:181:72: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 181 | out.template triangularView() = out.transpose(); | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:18: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 184 | out.array().rowwise() /= scales; | ~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:67: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 185 | out.array().colwise() /= scales.matrix().transpose().array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:217:33: required from ‘adelie_core::matrix::MatrixNaiveStandardize::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:25 = int]’ 217 | if (vsc) out_k.array() -= vsc; | ~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:220:60: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 220 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:188:10: required from here 188 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:225:52: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 225 | const Eigen::Map vk( | ^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here 212 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:24: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 234 | out_k = vk * _mat.transpose(); | ~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here 212 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2, Eigen::Sparse>’ 145 | class ProductImpl : public internal::generic_xpr_base, MatrixXpr, StorageKind>::type | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ 234 | out_k = vk * _mat.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 237 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here 212 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Ref > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::Ref >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:109:26: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:49: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 185 | auto out_diag = out.diagonal().segment(n_solved0, a_size); | ~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here 143 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, 0>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, 0>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:185:59: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 185 | auto out_diag = out.diagonal().segment(n_solved0, a_size); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here 143 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:299:53: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 299 | vec_value_t::NullaryExpr(sqrt_weights.size(), [&](auto i) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 300 | const auto sqrt_wi = sqrt_weights[i]; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 301 | return sqrt_wi * sqrt_wi * _bbuff[i]; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 302 | }), | ~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here 143 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:64: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 193 | (_vbuff != _max).template cast() * _vbuff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here 140 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:193:67: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 192 | sqrt_weights.square() * ( | ~ 193 | (_vbuff != _max).template cast() * _vbuff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ 194 | ), | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here 140 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Ref > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:192:43: required from ‘void adelie_core::matrix::MatrixNaiveSNPUnphased::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 192 | sqrt_weights.square() * ( | ~~~~~~~~~~~~~~~~~~~~~~^~~ 193 | (_vbuff != _max).template cast() * _vbuff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 194 | ), | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_unphased.hpp:140:10: required from here 140 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:315:42: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 315 | Eigen::Map V(v.data(), rows() / _K, _K); | ^ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:319:33: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 319 | Eigen::Map vbuff(_buff.data(), _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:26: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:42: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:62: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:333:28: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 333 | auto _out = Out.col(l); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 334 | dvaddi(_out, v * _mat.col(i), _n_threads); | ~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:24: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 334 | dvaddi(_out, v * _mat.col(i), _n_threads); | ~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 334 | dvaddi(_out, v * _mat.col(i), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:352:62: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 352 | auto _out = out.segment(n_processed, size).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:354:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:355:38: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:39: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:42: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:423:47: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 423 | auto sqrt_WX_array = sqrt_WX.array(); | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:52: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:86: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:426:65: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:87: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:483:40: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 483 | Eigen::Map _v( | ^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:40: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 496 | out_k.col(l) = _out.row(k); | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:37: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 500 | _out.noalias() = _v * _mat.transpose(); | ~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:28: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 519 | out_k = vk * _mat.transpose(); | ~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:77:38: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 77 | auto Out_l = Out.col(l).array(); | ~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here 64 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:105:49: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 105 | auto Out_curr = Out.col(l-j).segment(i_begin, i_q); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:41: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 127 | dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:54: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:54: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 60 | dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here 53 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:23: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 60 | dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here 53 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:71:31: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 71 | auto outm = out.matrix(); | ~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:75:26: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:91:44: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:69: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 140 | const auto sqrt_w_mj = (_mat.col(j).transpose().array() * sqrt_weights).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:140:91: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 140 | const auto sqrt_w_mj = (_mat.col(j).transpose().array() * sqrt_weights).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:86: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:94: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > > >, 1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > > >, 1, -1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate > > > >, 1, -1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:151:53: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:170:31: required from ‘void adelie_core::matrix::MatrixNaiveDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 170 | out.noalias() = v * _mat.transpose(); | ~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:161:10: required from here 161 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:27: required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 481 | out.middleCols(begin, rows_curr) = out_curr; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10: required from here 461 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:38: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 238 | mat.sp_btmul(v.middleCols(n_processed, q_curr), buff); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here 224 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:25: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 102 | out = _mat.block(i, i, p, p); | ~~~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here 96 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:36: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 133 | dvaddi(out, v * mat.row(i_rel).array(), _n_threads); | ~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here 114 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:49: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 133 | dvaddi(out, v * mat.row(i_rel).array(), _n_threads); | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here 114 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 133 | dvaddi(out, v * mat.row(i_rel).array(), _n_threads); | ~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here 114 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 154 | out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here 137 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:58: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 154 | out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here 137 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:87: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 154 | out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here 137 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:50: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 74 | dvaddi(out, v * _mat.col(i).array(), _n_threads); | ~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here 60 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 74 | dvaddi(out, v * _mat.col(i).array(), _n_threads); | ~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here 60 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:31: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 74 | dvaddi(out, v * _mat.col(i).array(), _n_threads); | ~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here 60 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:25: required from ‘void adelie_core::matrix::MatrixCovDense::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 85 | out = _mat.block(i, i, p, p); | ~~~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10: required from here 79 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:85:13: required from ‘void adelie_core::matrix::MatrixCovDense::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 85 | out = _mat.block(i, i, p, p); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:79:10: required from here 79 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:210:22: required from ‘void adelie_core::matrix::MatrixCovBlockDiag::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 210 | out.block(n_processed, n_processed, new_p, new_p) = new_out; | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_block_diag.hpp:188:10: required from here 188 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:48: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 404 | const auto sqrt_w_mi = (sqrt_w * mi).matrix(); | ~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:404:60: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 404 | const auto sqrt_w_mi = (sqrt_w * mi).matrix(); | ~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:36: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 613 | auto w = buffer.col(0).array(); | ~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:613:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 613 | auto w = buffer.col(0).array(); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:42: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:56: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:65: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:51: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:64: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:60: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:73: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:64: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:73: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:643:32: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 643 | out_12.diagonal() = out_21.diagonal(); | ~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 68 | (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here 59 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ 66 | x1.segment(begin, size) -= x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 84 | dvsubi( | ~~~~~~^ 85 | out, | ~~~~ 86 | vec_value_t::NullaryExpr(out.size(), [&](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | return vsc; | ~~~~~~~~~~~ 88 | }), | ~~~ 89 | _n_threads | ~~~~~~~~~~ 90 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here 73 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:104:25: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 104 | (c == 0).all() ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dvveq(out, (out - vw_sum * c) / s, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false>, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 119 | dvveq(vs, v / s, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 119 | dvveq(vs, v / s, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ 66 | x1.segment(begin, size) -= x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 129 | dvsubi( | ~~~~~~^ 130 | out, | ~~~~ 131 | vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | _n_threads | ~~~~~~~~~~ 133 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 144 | dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here 136 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 1, -1, false> > > >’ 506 | >::type DirectLinearAccessType; | ^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:70:56: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 70 | typedef typename VBlasTraits::DirectLinearAccessType ActualVType; | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, 1, -1, false>, -1, 1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29: required from ‘ExpressionType& Eigen::VectorwiseOp::operator/=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; ExpressionType = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; int Direction = 1]’ 627 | m_matrix /= extendedTo(other.derived()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:184:31: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 184 | out.array().rowwise() /= scales; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 1, -1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:627:29: required from ‘ExpressionType& Eigen::VectorwiseOp::operator/=(const Eigen::DenseBase&) [with OtherDerived = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; ExpressionType = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; int Direction = 0]’ 627 | m_matrix /= extendedTo(other.derived()); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:185:31: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 185 | out.array().colwise() /= scales.matrix().transpose().array(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ 688 | Eigen::Map mbuff( | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 108 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:688:32: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ 688 | Eigen::Map mbuff( | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 108 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:30: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ 728 | out = mbuff.rowwise().sum(); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 108 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:21: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 159 | return buff.head(n_blocks).sum(); | ~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 334 | dvaddi(_out, v * _mat.col(i), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Ref > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 345 | dvveq(_vbuff, v * weights, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, true>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:29: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:29: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 256 | out = buff.block(0, 0, n_blocks, p).colwise().sum(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:256:62: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 256 | out = buff.block(0, 0, n_blocks, p).colwise().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 424 | dmmeq( | ~~~~~^ 425 | sqrt_WX_array, | ~~~~~~~~~~~~~~ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 427 | _n_threads | ~~~~~~~~~~ 428 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 424 | dmmeq( | ~~~~~^ 425 | sqrt_WX_array, | ~~~~~~~~~~~~~~ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 427 | _n_threads | ~~~~~~~~~~ 428 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 59 | dvveq(_v, V.col(l), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here 46 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:19: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 78 | dvaddi(Out_l, _out, _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here 64 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 78 | dvaddi(Out_l, _out, _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here 64 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 106 | dvveq(Out_curr, _out, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 127 | dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 282 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:250:27: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 250 | _mat->sp_btmul(_v, _out); | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:207:10: required from here 207 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::Ref > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 60 | dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here 53 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:28: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:60: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:46: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:26: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:22: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:61: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:47: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:54: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:21: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:252:40: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 142 | out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >, -1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> > >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> > >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:22: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 149 | dmmeq( | ~~~~~^ 150 | Xj_array, | ~~~~~~~~~ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | _n_threads | ~~~~~~~~~~ 153 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:51: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 149 | dmmeq( | ~~~~~^ 150 | Xj_array, | ~~~~~~~~~ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | _n_threads | ~~~~~~~~~~ 153 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::IteratorBased, double>’ 438 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, -1, -1, false, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 238 | mat.sp_btmul(v.middleCols(n_processed, q_curr), buff); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here 224 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 687 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:238:25: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 238 | mat.sp_btmul(v.middleCols(n_processed, q_curr), buff); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here 224 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:57:59: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 133 | dvaddi(out, v * mat.row(i_rel).array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here 114 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 74 | dvaddi(out, v * _mat.col(i).array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here 60 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::CastXpr::Type Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:62: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 108 | (m_slice == index).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:108:71: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 108 | (m_slice == index).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:136:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 136 | vec_value_t::NullaryExpr(_mat.rows(), [=](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ 137 | return v; | ~~~~~~~~~ 138 | }), | ~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 296 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here 289 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:147:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 147 | v * (m_slice == index).template cast(), | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 296 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here 289 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:221:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 221 | vec_value_t::NullaryExpr(_mat.rows(), [&](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ 222 | return v[0]; | ~~~~~~~~~~~~ 223 | }), | ~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 337 | _btmul(jj, slice, index, level, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here 321 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:231:45: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 231 | vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) { | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | const int k = _mat(i, slice); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | return v[k]; | ~~~~~~~~~~~~ 234 | }), | ~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 337 | _btmul(jj, slice, index, level, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here 321 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 405 | out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:80: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:104: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:30: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 151 | (mi1 * (mi0 == k0).template cast()).matrix(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:151:76: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 151 | (mi1 * (mi0 == k0).template cast()).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::CastXpr::Type Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:72: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 184 | ((mi0 == k0) && (mi1 == k1)).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:184:81: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 184 | ((mi0 == k0) && (mi1 == k1)).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:74: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 224 | dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:243:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 243 | v * mi1 * (mi0 == k0).template cast(), | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:273:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 273 | v * ((mi0 == k0) && (mi1 == k1)).template cast(), | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:54: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 373 | dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads); | ~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:46: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 373 | dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads); | ~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:40: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 373 | dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:379:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 379 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 380 | [&](auto i) { | ~~~~~~~~~~~~~ 381 | const int k0 = _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 382 | return v[k0] + v[l0 + k0] * _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | } | ~ 384 | ), | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:392:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 392 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 393 | [&](auto i) { | ~~~~~~~~~~~~~ 394 | const int k1 = _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 395 | const auto b = _n_levels_cont * k1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 396 | return v[b] + v[b+1] * _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 397 | } | ~ 398 | ), | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:406:45: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 406 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ 407 | [&](auto i) { | ~~~~~~~~~~~~~ 408 | const int k0 = _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 409 | const int k1 = _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | return v[k1 * l0 + k0]; | ~~~~~~~~~~~~~~~~~~~~~~~ 411 | } | ~ 412 | ), | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:19: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 614 | dvveq(w, sqrt_w.square(), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Ref > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Ref > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Ref > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Ref > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 614 | dvveq(w, sqrt_w.square(), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:227:26: required from ‘adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:27 = int]’ 227 | out_k.setZero(); | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:233:60: required from ‘void adelie_core::matrix::MatrixNaiveCSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 233 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:215:10: required from here 215 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:7: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 33 | Map >(mat+stride*i+i, size-i) += | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false> > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false> > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:82: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:68: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:158:20: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 158 | out.setZero(); // don't parallelize! q is usually small | ~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here 143 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 0, Eigen::Stride<0, 0> > > >’ 506 | >::type DirectLinearAccessType; | ^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 89 | typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: required from ‘struct Eigen::internal::blas_traits, 0, Eigen::OuterStride<> > > >’ 506 | >::type DirectLinearAccessType; | ^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:89:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::OuterStride<> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 89 | typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::OuterStride<> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:157:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 157 | out_lower.rankUpdate(Xj.transpose()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:232:20: required from ‘void adelie_core::matrix::MatrixNaiveCConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 232 | out.setZero(); | ~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:224:10: required from here 224 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 106 | return ddot( | ~~~~^ 107 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 108 | (m_slice == index).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | n_threads, | ~~~~~~~~~~ 110 | _buff | ~~~~~ 111 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 134 | dvaddi( | ~~~~~~^ 135 | out, | ~~~~ 136 | vec_value_t::NullaryExpr(_mat.rows(), [=](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | return v; | ~~~~~~~~~ 138 | }), | ~~~ 139 | n_threads | ~~~~~~~~~ 140 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 296 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here 289 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 145 | dvaddi( | ~~~~~~^ 146 | out, | ~~~~ 147 | v * (m_slice == index).template cast(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | n_threads | ~~~~~~~~~ 149 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 296 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here 289 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 219 | dvaddi( | ~~~~~~^ 220 | out, | ~~~~ 221 | vec_value_t::NullaryExpr(_mat.rows(), [&](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 222 | return v[0]; | ~~~~~~~~~~~~ 223 | }), | ~~~ 224 | n_threads | ~~~~~~~~~ 225 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 337 | _btmul(jj, slice, index, level, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here 321 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 229 | dvaddi( | ~~~~~~^ 230 | out, | ~~~~ 231 | vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | const int k = _mat(i, slice); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | return v[k]; | ~~~~~~~~~~~~ 234 | }), | ~~~ 235 | n_threads | ~~~~~~~~~ 236 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 337 | _btmul(jj, slice, index, level, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here 321 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 149 | return ddot( | ~~~~^ 150 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 151 | (mi1 * (mi0 == k0).template cast()).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | n_threads, | ~~~~~~~~~~ 153 | _buff | ~~~~~ 154 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:57: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 182 | return ddot( | ~~~~^ 183 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 184 | ((mi0 == k0) && (mi1 == k1)).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 185 | n_threads, | ~~~~~~~~~~ 186 | _buff | ~~~~~ 187 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 224 | dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 241 | dvaddi( | ~~~~~~^ 242 | out, | ~~~~ 243 | v * mi1 * (mi0 == k0).template cast(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 244 | n_threads | ~~~~~~~~~ 245 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 271 | dvaddi( | ~~~~~~^ 272 | out, | ~~~~ 273 | v * ((mi0 == k0) && (mi1 == k1)).template cast(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | n_threads | ~~~~~~~~~ 275 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:29: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 310 | out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 505 | _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here 481 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 373 | dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 377 | dvaddi( | ~~~~~~^ 378 | out, | ~~~~ 379 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 380 | [&](auto i) { | ~~~~~~~~~~~~~ 381 | const int k0 = _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 382 | return v[k0] + v[l0 + k0] * _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | } | ~ 384 | ), | ~~ 385 | n_threads | ~~~~~~~~~ 386 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 390 | dvaddi( | ~~~~~~^ 391 | out, | ~~~~ 392 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 393 | [&](auto i) { | ~~~~~~~~~~~~~ 394 | const int k1 = _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 395 | const auto b = _n_levels_cont * k1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 396 | return v[b] + v[b+1] * _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 397 | } | ~ 398 | ), | ~~ 399 | n_threads | ~~~~~~~~~ 400 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:46: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 404 | dvaddi( | ~~~~~~^ 405 | out, | ~~~~ 406 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 407 | [&](auto i) { | ~~~~~~~~~~~~~ 408 | const int k0 = _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 409 | const int k1 = _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | return v[k1 * l0 + k0]; | ~~~~~~~~~~~~~~~~~~~~~~~ 411 | } | ~ 412 | ), | ~~ 413 | n_threads | ~~~~~~~~~ 414 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:346:24: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 346 | return internal::evaluator(derived()).coeffRef(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:368:22: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 368 | return coeffRef(row, col); | ~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:638:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 638 | out_11(k0, k0) += wi; | ~~~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Ref >]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_matrix.h:125:13: required from ‘void adelie_core::matrix::MatrixNaiveS4::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 125 | out += Rcpp::as>( | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 126 | ADELIE_CORE_S4_PURE_OVERRIDE(ctmul, _mat, j, v) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 127 | ); | ~ rcpp_matrix.h:119:10: required from here 119 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper > >; U = Eigen::MatrixWrapper > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper > >; Derived = Eigen::MatrixWrapper > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 68 | (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here 59 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 68 | (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here 59 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, 1, -1, false> >; Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ 29 | typedef typename internal::conditional::type ConjLhsType; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 75 | selfadjoint_rank1_update::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 180 | out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ 33 | += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1))); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 75 | selfadjoint_rank1_update::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 180 | out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum()); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:691:18: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ 691 | mbuff.setZero(); | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 108 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 159 | return buff.head(n_blocks).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 142 | out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 142 | out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 405 | out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 405 | out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Ref > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:180:89: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 180 | out_lower.rankUpdate(centers.matrix().transpose(), sqrt_weights.square().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 1, -1, false> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:605:21: required from ‘auto adelie_core::matrix::snp_phased_ancestry_dot(const IOType&, int, const VType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseNullaryOp, int>::cov(int, int, const Eigen::Ref >&, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >)::, Eigen::Array >; BuffType = Eigen::Array; size_t = long unsigned int]’ 605 | return vbuff.sum(); | ~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:297:65: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 297 | const auto sum = snp_phased_ancestry_dot( | ~~~~~~~~~~~~~~~~~~~~~~~^ 298 | _io, begin1 + a1, | ~~~~~~~~~~~~~~~~~ 299 | vec_value_t::NullaryExpr(sqrt_weights.size(), [&](auto i) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 300 | const auto sqrt_wi = sqrt_weights[i]; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 301 | return sqrt_wi * sqrt_wi * _bbuff[i]; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 302 | }), | ~~~ 303 | _n_threads, | ~~~~~~~~~~~ 304 | _buff | ~~~~~ 305 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here 143 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 496 | out_k.col(l) = _out.row(k); | ~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 22 | x1 += x2; | ~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 78 | dvaddi(Out_l, _out, _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here 64 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 78 | dvaddi(Out_l, _out, _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here 64 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 74 | dvaddi(out, v * _mat.col(i).array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here 60 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 97 | return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 97 | return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 97 | return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 97 | return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 106 | return ddot( | ~~~~^ 107 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 108 | (m_slice == index).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | n_threads, | ~~~~~~~~~~ 110 | _buff | ~~~~~ 111 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 106 | return ddot( | ~~~~^ 107 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 108 | (m_slice == index).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | n_threads, | ~~~~~~~~~~ 110 | _buff | ~~~~~ 111 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 123 | return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 123 | return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 149 | return ddot( | ~~~~^ 150 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 151 | (mi1 * (mi0 == k0).template cast()).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | n_threads, | ~~~~~~~~~~ 153 | _buff | ~~~~~ 154 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 149 | return ddot( | ~~~~^ 150 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 151 | (mi1 * (mi0 == k0).template cast()).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | n_threads, | ~~~~~~~~~~ 153 | _buff | ~~~~~ 154 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 182 | return ddot( | ~~~~^ 183 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 184 | ((mi0 == k0) && (mi1 == k1)).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 185 | n_threads, | ~~~~~~~~~~ 186 | _buff | ~~~~~ 187 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 182 | return ddot( | ~~~~^ 183 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 184 | ((mi0 == k0) && (mi1 == k1)).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 185 | n_threads, | ~~~~~~~~~~ 186 | _buff | ~~~~~ 187 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 310 | out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 505 | _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here 481 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 310 | out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 505 | _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here 481 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 310 | out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 505 | _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here 481 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 68 | (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here 59 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:159:35: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; size_t = long unsigned int]’ 159 | return buff.head(n_blocks).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:320:20: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEyeDense::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 320 | return ddot(V.col(l).cwiseProduct(W.col(l)), _mat.col(i), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:308:13: required from here 308 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ 82 | x1 = x2; | ~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 59 | dvveq(_v, V.col(l), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here 46 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 59 | dvveq(_v, V.col(l), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here 46 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 82 | x1 = x2; | ~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 106 | dvveq(Out_curr, _out, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 106 | dvveq(Out_curr, _out, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 142 | out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::internal::IteratorBased, double>’ 438 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 102 | out = _mat.block(i, i, p, p); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here 96 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Ref, 0, Eigen::OuterStride<> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 145 | internal::evaluator srcEval(src); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Derived = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:102:13: required from ‘void adelie_core::matrix::MatrixCovSparse::to_dense(int, int, Eigen::Ref::colmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::colmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 102 | out = _mat.block(i, i, p, p); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_sparse.hpp:96:10: required from here 96 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 405 | out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; Src = Eigen::CwiseUnaryOp, const Eigen::Ref > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref > >; Derived = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ 82 | x1 = x2; | ~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 614 | dvveq(w, sqrt_w.square(), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 614 | dvveq(w, sqrt_w.square(), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::OuterStride<> >, -1, 1, true> > > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ 1452 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 423 | out.col(i) = _out.col(_subset[i]); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here 412 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>; Src = Eigen::Block, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:423:24: required from ‘void adelie_core::matrix::MatrixNaiveRSubset::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 423 | out.col(i) = _out.col(_subset[i]); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_subset.hpp:412:10: required from here 412 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 181 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ 66 | x1.segment(begin, size) -= x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:84:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 84 | dvsubi( | ~~~~~~^ 85 | out, | ~~~~ 86 | vec_value_t::NullaryExpr(out.size(), [&](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | return vsc; | ~~~~~~~~~~~ 88 | }), | ~~~ 89 | _n_threads | ~~~~~~~~~~ 90 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:73:10: required from here 73 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 181 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp::btmul(int, int, const Eigen::Ref >&, Eigen::Ref >)::, Eigen::Array >; size_t = long unsigned int]’ 66 | x1.segment(begin, size) -= x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:129:15: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 129 | dvsubi( | ~~~~~~^ 130 | out, | ~~~~ 131 | vec_value_t::NullaryExpr(out.size(), [&](auto) { return vsc; }), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 132 | _n_threads | ~~~~~~~~~~ 133 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 22 | x1 += x2; | ~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 334 | dvaddi(_out, v * _mat.col(i), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 334 | dvaddi(_out, v * _mat.col(i), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:334:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 334 | dvaddi(_out, v * _mat.col(i), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:323:10: required from here 323 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 171 | buffer.setZero(); | ~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:433:69: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 433 | XTWX.template selfadjointView().rankUpdate(sqrt_WX.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block, 1, -1, true>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; SrcXprType = Eigen::Block, 1, -1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::Block, 1, -1, true>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:496:30: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 496 | out_k.col(l) = _out.row(k); | ~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 78 | dvaddi(Out_l, _out, _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here 64 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, -1, 1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:78:15: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 78 | dvaddi(Out_l, _out, _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:64:10: required from here 64 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:60:15: required from ‘void adelie_core::matrix::MatrixNaiveDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 60 | dvaddi(out, v * _mat.col(j).transpose().array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:53:10: required from here 53 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block > >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block > >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Matrix; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ 136 | typedef typename internal::nested_eval::type ArgTypeNested; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper > >; SrcXprType = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::MatrixWrapper > >; SrcXprType = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 258 | out += buff.block(0, 0, n_blocks, p).colwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:481:46: required from ‘void adelie_core::matrix::MatrixNaiveRConcatenate::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with ValueType = double; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 481 | out.middleCols(begin, rows_curr) = out_curr; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_concatenate.hpp:461:10: required from here 461 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 1, -1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; Derived = Eigen::Ref >]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:22:12: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ 22 | x1 += x2; | ~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 133 | dvaddi(out, v * mat.row(i_rel).array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here 114 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 1, -1, true> > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:133:19: required from ‘void adelie_core::matrix::MatrixCovLazyCov::mul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 133 | dvaddi(out, v * mat.row(i_rel).array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:114:10: required from here 114 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 154 | out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here 137 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; SrcXprType = Eigen::Transpose, -1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>; Src = Eigen::Transpose, -1, -1, false> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:154:47: required from ‘void adelie_core::matrix::MatrixCovLazyCov::to_dense(int, int, Eigen::Ref::type::Scalar, IndexType>::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::colmat_value_t = Eigen::Matrix; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 154 | out.middleCols(n_processed, size) = mat.block(k_rel, i, size, p).transpose(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:137:10: required from here 137 | void to_dense( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, 1, -1, false> >; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose >, 1, -1, false> >; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, -1, 1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:74:23: required from ‘void adelie_core::matrix::MatrixCovDense::mul(const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::vec_index_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 74 | dvaddi(out, v * _mat.col(i).array(), _n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_dense.hpp:60:10: required from here 60 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:106:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 106 | return ddot( | ~~~~^ 107 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 108 | (m_slice == index).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | n_threads, | ~~~~~~~~~~ 110 | _buff | ~~~~~ 111 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 123 | return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:149:32: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 149 | return ddot( | ~~~~^ 150 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 151 | (mi1 * (mi0 == k0).template cast()).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | n_threads, | ~~~~~~~~~~ 153 | _buff | ~~~~~ 154 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:182:28: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 182 | return ddot( | ~~~~^ 183 | (v * w).matrix(), | ~~~~~~~~~~~~~~~~~ 184 | ((mi0 == k0) && (mi1 == k1)).template cast().matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 185 | n_threads, | ~~~~~~~~~~ 186 | _buff | ~~~~~ 187 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 310 | out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 505 | _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here 481 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper > >, const Eigen::MatrixWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper > >; U = Eigen::MatrixWrapper > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper > >; Derived = Eigen::MatrixWrapper > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 68 | (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here 59 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block > >, 1, -1, false>, const Eigen::Block > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>; U = Eigen::Block > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block > >, 1, -1, false>; Derived = Eigen::Block > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper > >; X2Type = Eigen::MatrixWrapper > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:68:32: required from ‘typename adelie_core::matrix::MatrixNaiveStandardize::base_t::value_t adelie_core::matrix::MatrixNaiveStandardize::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 68 | (c == 0) ? 0 : ddot(v.matrix(), weights.matrix(), _n_threads, _buff) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:59:13: required from here 59 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dvveq(out, (out - vw_sum * c) / s, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:93:10: required from here 93 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 119 | dvveq(vs, v / s, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, -1>; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:119:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 119 | dvveq(vs, v / s, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; U = Eigen::MatrixWrapper, 1, -1, false> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, 1, -1, false> >; Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; X2Type = Eigen::MatrixWrapper, 1, -1, false> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:122:30: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 122 | const auto vsc = ddot( | ~~~~^ 123 | _centers.segment(j, q).matrix(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | vs.matrix(), | ~~~~~~~~~~~~ 125 | _n_threads, | ~~~~~~~~~~~ 126 | _buff | ~~~~~ 127 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:144:14: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 144 | dvveq(out, (out - vw_sum * _centers) / _scales, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:136:10: required from here 136 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 33 | Map >(mat+stride*i+i, size-i) += | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, false> > >, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, -1, 1, false> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:62: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; VType = Eigen::Transpose, 1, -1, false> > >]’ 33 | Map >(mat+stride*i+i, size-i) += | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; DerivedV = Eigen::Transpose, 1, -1, false> > >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int UpLo = 1; Scalar = double]’ 85 | internal::selfadjoint_rank2_update_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:179:33: required from ‘void adelie_core::matrix::MatrixNaiveStandardize::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 179 | out_lower.rankUpdate(centers.matrix().transpose(), means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_standardize.hpp:157:10: required from here 157 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 0>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; SrcXprType = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 0>, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseUnaryOp, const Eigen::Ref > >; OutType = Eigen::VectorBlock, 0, Eigen::OuterStride<> >, 0>, -1>; BuffType = Eigen::Array; size_t = long unsigned int]’ 728 | out = mbuff.rowwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:186:50: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 186 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 187 | _io, begin0, a_size, sqrt_weights.square(), out_diag, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 188 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:143:10: required from here 143 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:345:14: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 345 | dvveq(_vbuff, v * weights, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false> >, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 424 | dmmeq( | ~~~~~^ 425 | sqrt_WX_array, | ~~~~~~~~~~~~~~ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 427 | _n_threads | ~~~~~~~~~~ 428 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:424:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 424 | dmmeq( | ~~~~~^ 425 | sqrt_WX_array, | ~~~~~~~~~~~~~~ 426 | _mat.middleCols(i_begin, i_q).array().colwise() * sqrt_W.col(l).array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 427 | _n_threads | ~~~~~~~~~~ 428 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:400:10: required from here 400 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:59:14: required from ‘typename adelie_core::matrix::MatrixNaiveKroneckerEye::base_t::value_t adelie_core::matrix::MatrixNaiveKroneckerEye::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with ValueType = double; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 59 | dvveq(_v, V.col(l), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:46:13: required from here 46 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; X2Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:106:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 106 | dvveq(Out_curr, _out, _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:82:12: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ 82 | x1 = x2; | ~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 127 | dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, false>, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Map, 0, Eigen::Stride<0, 0> >; X2Type = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1>; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:127:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEye::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 127 | dvveq(_v, V.col(l-j).segment(i_begin, i_q), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:110:10: required from here 110 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:50:20: required from ‘typename adelie_core::matrix::MatrixNaiveDense::base_t::value_t adelie_core::matrix::MatrixNaiveDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 50 | return ddot(_mat.col(j), (v * weights).matrix(), _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:42:13: required from here 42 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 142 | out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; BuffType = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:142:29: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 142 | out(0, 0) = ddot(sqrt_w_mj, sqrt_w_mj, _n_threads, vbuff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 149 | dmmeq( | ~~~~~^ 150 | Xj_array, | ~~~~~~~~~ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | _n_threads | ~~~~~~~~~~ 153 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>; Src = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >, -1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> > >, -1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:189:36: required from ‘void adelie_core::matrix::dmmeq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> > >; X2Type = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, const Eigen::Replicate > > > >, 1, -1> >; size_t = long unsigned int]’ 189 | x1.middleRows(begin, size) = x2.middleRows(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:149:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 149 | dmmeq( | ~~~~~^ 150 | Xj_array, | ~~~~~~~~~ 151 | _mat.middleCols(j, q).array().colwise() * sqrt_weights.matrix().transpose().array(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 152 | _n_threads | ~~~~~~~~~~ 153 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:126:10: required from here 126 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_ctmul(int, adelie_core::matrix::MatrixNaiveBase::value_t, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:134:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 134 | dvaddi( | ~~~~~~^ 135 | out, | ~~~~ 136 | vec_value_t::NullaryExpr(_mat.rows(), [=](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 137 | return v; | ~~~~~~~~~ 138 | }), | ~~~ 139 | n_threads | ~~~~~~~~~ 140 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 296 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here 289 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:145:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 145 | dvaddi( | ~~~~~~^ 146 | out, | ~~~~ 147 | v * (m_slice == index).template cast(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 148 | n_threads | ~~~~~~~~~ 149 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:296:9: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 296 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:289:10: required from here 289 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:219:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 219 | dvaddi( | ~~~~~~^ 220 | out, | ~~~~ 221 | vec_value_t::NullaryExpr(_mat.rows(), [&](auto) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 222 | return v[0]; | ~~~~~~~~~~~~ 223 | }), | ~~~ 224 | n_threads | ~~~~~~~~~ 225 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 337 | _btmul(jj, slice, index, level, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here 321 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:229:23: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::_btmul(int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 229 | dvaddi( | ~~~~~~^ 230 | out, | ~~~~ 231 | vec_value_t::NullaryExpr(_mat.rows(), [&](auto i) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | const int k = _mat(i, slice); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | return v[k]; | ~~~~~~~~~~~~ 234 | }), | ~~~ 235 | n_threads | ~~~~~~~~~ 236 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:337:13: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 337 | _btmul(jj, slice, index, level, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:321:10: required from here 321 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 405 | out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>, const Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:405:33: required from ‘void adelie_core::matrix::MatrixNaiveOneHotDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 405 | out(0, 0) = ddot(sqrt_w_mi, sqrt_w_mi, _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:373:10: required from here 373 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:224:31: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 224 | dvaddi(out, v * _mat.col(i0).transpose().array() * _mat.col(i1).transpose().array(), n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:241:27: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 241 | dvaddi( | ~~~~~~^ 242 | out, | ~~~~ 243 | v * mi1 * (mi0 == k0).template cast(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 244 | n_threads | ~~~~~~~~~ 245 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:271:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 271 | dvaddi( | ~~~~~~^ 272 | out, | ~~~~ 273 | v * ((mi0 == k0) && (mi1 == k1)).template cast(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | n_threads | ~~~~~~~~~ 275 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:478:9: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::ctmul(int, typename base_t::value_t, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 478 | _ctmul(j, v, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:471:10: required from here 471 | void ctmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:373:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 373 | dvaddi(out, v[0] * mi0 + mi1 * (v[1] + v[2] * mi0), n_threads); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:377:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 377 | dvaddi( | ~~~~~~^ 378 | out, | ~~~~ 379 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 380 | [&](auto i) { | ~~~~~~~~~~~~~ 381 | const int k0 = _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 382 | return v[k0] + v[l0 + k0] * _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | } | ~ 384 | ), | ~~ 385 | n_threads | ~~~~~~~~~ 386 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:390:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 390 | dvaddi( | ~~~~~~^ 391 | out, | ~~~~ 392 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 393 | [&](auto i) { | ~~~~~~~~~~~~~ 394 | const int k1 = _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 395 | const auto b = _n_levels_cont * k1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 396 | return v[b] + v[b+1] * _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 397 | } | ~ 398 | ), | ~~ 399 | n_threads | ~~~~~~~~~ 400 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:194:18: required from ‘Derived& Eigen::ArrayBase::operator+=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >, 1, -1, false>; Derived = Eigen::Block >, 1, -1, false>]’ 194 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:36:33: required from ‘void adelie_core::matrix::dvaddi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Ref >; X2Type = Eigen::CwiseNullaryOp, int>::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref >&, Eigen::Ref >, size_t)::, Eigen::Array >; size_t = long unsigned int]’ 36 | x1.segment(begin, size) += x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:404:23: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_btmul(int, int, int, int, int, int, size_t, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; size_t = long unsigned int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 404 | dvaddi( | ~~~~~~^ 405 | out, | ~~~~ 406 | vec_value_t::NullaryExpr(_mat.rows(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 407 | [&](auto i) { | ~~~~~~~~~~~~~ 408 | const int k0 = _mat(i, i0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 409 | const int k1 = _mat(i, i1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | return v[k1 * l0 + k0]; | ~~~~~~~~~~~~~~~~~~~~~~~ 411 | } | ~ 412 | ), | ~~ 413 | n_threads | ~~~~~~~~~ 414 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:533:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 533 | _btmul(jj, i0, i1, l0, l1, index, size, v_curr, out, _n_threads); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:510:10: required from here 510 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Ref > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 614 | dvveq(w, sqrt_w.square(), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false> >; SrcXprType = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>; Src = Eigen::Block, const Eigen::Ref > >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Ref > >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, -1, 1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::ArrayWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> >; X2Type = Eigen::CwiseUnaryOp, const Eigen::Ref > >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:614:22: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 614 | dvveq(w, sqrt_w.square(), _n_threads); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:615:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 615 | out(0, 0) = ddot(w.matrix(), mi0.square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:616:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 616 | out(1, 0) = ddot(w.matrix(), (mi0 * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:618:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 618 | out(2, 0) = ddot(w.matrix(), (mi0.square() * mi1).matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Derived = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, -1, 1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; X2Type = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, 0, Eigen::OuterStride<> >, -1, 1, true> > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:620:33: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::cov(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::colmat_value_t>, Eigen::Ref::colmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixNaiveBase::colmat_value_t = Eigen::Matrix; typename Eigen::internal::conditional::colmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 620 | out(2, 2) = ddot(w.matrix(), (mi0 * mi1).square().matrix(), _n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:576:10: required from here 576 | void cov( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h:121:8: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ 121 | struct plain_object_eval | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:50:59: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dest&, const ActualLhs&, const Rhs&, typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type*) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; ActualLhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductType = 8; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value, int*>::type = int*; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape]’ 50 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:84:10: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&, Eigen::DenseShape) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductType = 8]’ 84 | addTo(dst, lhs, rhs); | ~~~~~^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h:43:11: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ 234 | out_k = vk * _mat.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 237 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here 212 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Dest = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::MatrixWrapper > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:907:22: required from ‘void Eigen::internal::call_restricted_packet_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>; Func = assign_op]’ 907 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:47: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::false_type) [with Dst = Eigen::Block, -1, -1, true>; LhsT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; RhsT = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 462 | call_restricted_packet_assignment_no_alias(dst, lhs.lazyProduct(rhs), func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic(Dst&, const Lhs&, const Rhs&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Func = Eigen::internal::assign_op; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 446 | eval_dynamic_impl(dst, | ~~~~~~~~~~~~~~~~~^~~~~ 447 | blas_traits::extract(lhs).template conjugateIf(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | blas_traits::extract(rhs).template conjugateIf(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 449 | func, | ~~~~~ 450 | actualAlpha, | ~~~~~~~~~~~~ 451 | typename conditional::type()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > > >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 97 | return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:97:28: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 97 | return ddot((v * w).matrix(), _mat.col(slice), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:286:16: required from ‘typename adelie_core::matrix::MatrixNaiveOneHotDense::base_t::value_t adelie_core::matrix::MatrixNaiveOneHotDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 286 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_one_hot.hpp:279:13: required from here 279 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 123 | return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:123:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 123 | return ddot((v * w).matrix(), _mat.col(i0).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; U = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Derived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>, const Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; U = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; X2Type = Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:131:36: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::_cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 131 | return ddot((v * w).matrix(), _mat.col(i0).cwiseProduct(_mat.col(i1)).transpose(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:468:16: required from ‘typename adelie_core::matrix::MatrixNaiveInteractionDense::base_t::value_t adelie_core::matrix::MatrixNaiveInteractionDense::cmul(int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::value_t = double; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 468 | return _cmul(j, v, weights, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:461:13: required from here 461 | value_t cmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, const Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; U = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:143:22: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 143 | return x1.dot(x2); | ~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 310 | out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 505 | _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here 481 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false> >, const Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; U = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Ref >, const Eigen::Ref > > >, 1, -1, false>; Derived = Eigen::Block, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:157:46: required from ‘typename std::decay<_Tp>::type::Scalar adelie_core::matrix::ddot(const X1Type&, const X2Type&, size_t, BuffType&) [with X1Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; X2Type = Eigen::MatrixWrapper, const Eigen::Ref >, const Eigen::Ref > > >; BuffType = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; std::decay_t<_Fn> = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; size_t = long unsigned int]’ 157 | buff[t] = x1.segment(begin, size).dot(x2.segment(begin, size)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:310:30: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::_bmul(int, int, int, int, int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>, size_t) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int]’ 310 | out[2] = ddot(_mat.col(i0).cwiseProduct(_mat.col(i1)), (v * w).matrix(), n_threads, _buff); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:505:13: required from ‘void adelie_core::matrix::MatrixNaiveInteractionDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 505 | _bmul(jj, i0, i1, l0, l1, index, v, weights, out_curr, _n_threads); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:481:10: required from here 481 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 2>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]’ 75 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:234:19: required from ‘adelie_core::matrix::MatrixNaiveSparse, int>::sp_btmul(const adelie_core::matrix::MatrixNaiveBase::sp_mat_value_t&, Eigen::Ref, 0, Eigen::OuterStride<> >):: [with auto:22 = int]’ 234 | out_k = vk * _mat.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:237:60: required from ‘void adelie_core::matrix::MatrixNaiveSparse::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with SparseType = Eigen::SparseMatrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 237 | for (int k = 0; k < v.outerSize(); ++k) routine(k); | ~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_sparse.hpp:212:10: required from here 212 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 500 | _out.noalias() = _v * _mat.transpose(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:35: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::processRow(const LhsEval&, const DenseRhsType&, Res&, const typename Eigen::internal::remove_all::type::Scalar&, Eigen::Index) [with SparseLhsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DenseRhsType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; DenseResType = Eigen::Matrix; LhsEval = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; Res = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Eigen::Index = long int]’ 145 | res_i += (alpha*it.value()) * rhs.row(it.index()); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:131:19: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::SparseShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:500:32: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 500 | _out.noalias() = _v * _mat.transpose(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::MatrixWrapper >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block >, 1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 258 | out += buff.block(0, 0, n_blocks, p).colwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 2, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator > > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >; Functor = Eigen::internal::add_assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel > > >, Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::add_assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 258 | out += buff.block(0, 0, n_blocks, p).colwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, true> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, true> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ 728 | out = mbuff.rowwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 108 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 2, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:278:57: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 115 | pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 40 | general_matrix_matrix_product | ~~~~~~~~~~~~~~~~~~~~~~~~ 44 | ::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking,info); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 141 | return func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 258 | out += buff.block(0, 0, n_blocks, p).colwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ 728 | out = mbuff.rowwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 108 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:397:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 397 | Out.noalias() = _mat.transpose() * VW; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:386:10: required from here 386 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::PartialReduxExpr, -1, -1, false>, member_sum, 0>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:258:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 258 | out += buff.block(0, 0, n_blocks, p).colwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block, 1, -1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 519 | out_k = vk * _mat.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Ref >; Src = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, member_sum, 1>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 1>; Derived = Eigen::Ref >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:728:9: required from ‘void adelie_core::matrix::snp_phased_ancestry_block_dot(const IOType&, int, int, const VType&, OutType&, size_t, BuffType&) [with IOType = adelie_core::io::IOSNPPhasedAncestry >; VType = Eigen::CwiseBinaryOp, const Eigen::Ref >, const Eigen::Ref > >; OutType = Eigen::Ref >; BuffType = Eigen::Array; size_t = long unsigned int]’ 728 | out = mbuff.rowwise().sum(); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:108:38: required from ‘void adelie_core::matrix::MatrixNaiveSNPPhasedAncestry::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with ValueType = double; MmapPtrType = std::shared_ptr; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 108 | snp_phased_ancestry_block_dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 109 | _io, j, q, v * weights, out, _n_threads, _buff | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_snp_phased_ancestry.hpp:99:10: required from here 99 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:213:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 213 | out += v * m; | ~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, false>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:235:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 235 | out.segment(begin, size) += v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper >, 1, -1, false> >; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::MatrixWrapper >, 1, -1, false> >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block >, 1, -1, false> >, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>; Derived = Eigen::Block >, 1, -1, false> >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>; VType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper >, 1, -1, false> >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:353:18: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 353 | dgemv( | ~~~~~^ 354 | VW.middleCols(l, size), | ~~~~~~~~~~~~~~~~~~~~~~~ 355 | _mat.col(i).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | _n_threads, | ~~~~~~~~~~~ 357 | _buff, | ~~~~~~ 358 | _out | ~~~~ 359 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:337:10: required from here 337 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product > >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_add; MType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; VType = Eigen::MatrixWrapper > >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:90:41: required from ‘void adelie_core::matrix::MatrixNaiveDense::btmul(int, int, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 90 | dgemv( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 91 | _mat.middleCols(j, q).transpose(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | v.matrix(), | ~~~~~~~~~~~ 93 | _n_threads, | ~~~~~~~~~~~ 94 | _buff, | ~~~~~~ 95 | outm | ~~~~ 96 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:82:10: required from here 82 | void btmul( | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:42:27: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 42 | cov.noalias() = block.transpose() * _X; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, true> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, true>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, -1, -1, true>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, true>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:56:51: required from ‘void adelie_core::matrix::MatrixCovLazyCov::cache(int, int) [with DenseType = Eigen::Matrix; IndexType = int]’ 56 | cov.middleRows(begin, size).noalias() = ( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ 57 | block.transpose().middleRows(begin, size) * _X | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 58 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:96:17: required from ‘void adelie_core::matrix::MatrixCovLazyCov::bmul(const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_index_t>&, const Eigen::Ref::type::Scalar, IndexType>::vec_value_t>&, Eigen::Ref::type::Scalar, IndexType>::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_index_t = Eigen::Array; typename std::decay<_Tp>::type::Scalar = double; typename std::decay<_Tp>::type = Eigen::Matrix; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename adelie_core::matrix::MatrixCovBase::type::Scalar, IndexType>::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::type::Scalar, IndexType>::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 96 | cache(i, cache_size); | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_lazy_cov.hpp:81:10: required from here 81 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block > >, 1, -1, false>; Src = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, true>, 0>; Derived = Eigen::Block > >, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:233:42: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 233 | out.segment(begin, size) = v * m.middleCols(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, true>; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:73:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::bmul(int, int, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 73 | dgemv( | ~~~~~^ 74 | _mat.middleCols(j, q), | ~~~~~~~~~~~~~~~~~~~~~~ 75 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 76 | _n_threads, | ~~~~~~~~~~~ 77 | _buff, | ~~~~~~ 78 | outm | ~~~~ 79 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:63:10: required from here 63 | void bmul( | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::MatrixWrapper > >; Src = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::MatrixWrapper > >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:211:17: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 211 | out = v * m; | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, false>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, true>, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:251:33: required from ‘void adelie_core::matrix::dgemv(const MType&, const VType&, size_t, BuffType&, OutType&) [with adelie_core::util::operator_type op = adelie_core::util::operator_type::_eq; MType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VType = Eigen::MatrixWrapper >; BuffType = Eigen::Matrix; OutType = Eigen::MatrixWrapper > >; size_t = long unsigned int]’ 251 | buff.row(t).head(p) = ( | ~~~~~~~~~~~~~~~~~~~~^~~ 252 | v.segment(begin, size) * m.middleRows(begin, size) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:107:14: required from ‘void adelie_core::matrix::MatrixNaiveDense::mul(const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, Eigen::Ref::vec_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename adelie_core::matrix::MatrixNaiveBase::vec_value_t = Eigen::Array; typename DenseType::Scalar = double; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 107 | dgemv( | ~~~~~^ 108 | _mat, | ~~~~~ 109 | _vbuff.matrix(), | ~~~~~~~~~~~~~~~~ 110 | _n_threads, | ~~~~~~~~~~~ 111 | _buff, | ~~~~~~ 112 | outm | ~~~~ 113 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_dense.hpp:99:10: required from here 99 | void mul( | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >; Derived = Eigen::Block, 1, -1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:145:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Block, 1, -1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:519:23: required from ‘void adelie_core::matrix::MatrixNaiveKroneckerEyeDense::sp_btmul(const typename base_t::sp_mat_value_t&, Eigen::Ref::rowmat_value_t>) [with DenseType = Eigen::Matrix; IndexType = int; typename base_t::sp_mat_value_t = Eigen::SparseMatrix; base_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::matrix::MatrixNaiveBase::rowmat_value_t = Eigen::Matrix; typename DenseType::Scalar = double; typename Eigen::internal::conditional::rowmat_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’ 519 | out_k = vk * _mat.transpose(); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_kronecker_eye.hpp:449:10: required from here 449 | void sp_btmul( | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_matrix_utils_blas.cpp -o rcpp_matrix_utils_blas.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_matrix_utils_blas.cpp:8: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ rcpp_matrix_utils_blas.cpp:20:1: required from here 20 | ) | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ rcpp_matrix_utils_blas.cpp:20:1: required from here 20 | ) | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ rcpp_matrix_utils_blas.cpp:22:23: required from here 22 | const auto p = mat.cols(); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:76: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~^~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:821:68: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 821 | out.template triangularView() = out.transpose(); | ~~~~~~~~~~~~~^~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:35: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:819:20: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 819 | out.setZero(); | ~~~~~~~~~~~^~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, const Eigen::Block >, -1, 1, true>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, const Eigen::Block >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, const Eigen::Block >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, const Eigen::Block >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, const Eigen::Block >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl > >, const Eigen::Block >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, Eigen::Map >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, Eigen::Map >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, 1, -1, true>, Eigen::Map >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, 1, -1, true>, Eigen::Map >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, 1, -1, true>, Eigen::Map >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval > >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl > >, 1, -1, true>, Eigen::Map >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ 171 | buffer.setZero(); | ~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:820:64: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 820 | out.template selfadjointView().rankUpdate(m.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense > >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose > >; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose > >; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block >, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose > >; Rhs = const Eigen::Block >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator > >, Eigen::Map >, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:441:32: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >]’ 441 | lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Map >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product > >, Eigen::Map >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product > >, Eigen::Map >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product > >, Eigen::Map >, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:826:19: required from ‘void adelie_core::matrix::dgemtm(const MType&, OutType&, size_t) [with MType = Eigen::Map >; OutType = Eigen::Matrix; size_t = long unsigned int]’ 826 | out.noalias() = m.transpose() * m; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ rcpp_matrix_utils_blas.cpp:24:23: required from here 24 | ad::matrix::dgemtm(mat, out, n_threads); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_solver.cpp -o rcpp_solver.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_solver.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ 22 | map_cvec_value_t y; | ^ rcpp_glm.h:164:39: required from here 164 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ 22 | map_cvec_value_t y; | ^ rcpp_glm.h:164:39: required from here 164 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:22:22: required from ‘class adelie_core::glm::GlmBase’ 22 | map_cvec_value_t y; | ^ rcpp_glm.h:164:39: required from here 164 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ rcpp_glm.h:166:27: required from here 166 | vec_value_t y() const { return ptr->y; } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_glm.h:173:29: required from here 173 | vec_value_t grad(eta.size()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:174:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 281 | template class Ref | ^~~ rcpp_glm.h:174:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ 23 | map_carr_value_t y; | ^ rcpp_glm.h:203:39: required from here 203 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:23:22: required from ‘class adelie_core::glm::GlmMultiBase’ 23 | map_carr_value_t y; | ^ rcpp_glm.h:203:39: required from here 203 | bool is_multi() const { return ptr->is_multi; } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ rcpp_glm.h:205:30: required from here 205 | colarr_value_t y() const { return ptr->y; } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ rcpp_glm.h:212:34: required from here 212 | colarr_value_t gradT(etaT.rows(), etaT.cols()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_glm.h:214:41: required from here 214 | Eigen::Map grad(gradT.data(), gradT.cols(), gradT.rows()); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:215:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_glm.h:215:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_cov_base.hpp:96:18: required from ‘class adelie_core::matrix::MatrixCovBase’ 96 | virtual void to_dense( | ^~~~~~~~ rcpp_matrix.h:244:34: required from here 244 | int cols() const { return ptr->cols(); } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ 186 | virtual void sp_btmul( | ^~~~~~~~ rcpp_matrix.h:269:34: required from here 269 | int rows() const { return ptr->rows(); } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_matrix.h:289:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ rcpp_matrix.h:297:35: required from here 297 | dense_64F_t outT(rows(), v.rows()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_matrix.h:299:40: required from here 299 | Eigen::Map out(outT.data(), outT.cols(), outT.rows()); | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_matrix.h:300:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ 26 | const Eigen::Map _mat; // (n, d) underlying matrix | ^~~~ rcpp_matrix.h:314:1: required from here 315 | auto groups() const { return dynamic_cast(*ptr).groups(); } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ 344 | compute_impute(calldata, impute_method, impute, n_threads); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4, from rcpp_solver.cpp:3: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:37:52: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ 37 | Eigen::Map(beta.valuePtr(), n_classes) | ~~~~~^~~~~~~~ rcpp_solver.cpp:143:48: required from here 143 | ad::solver::multigaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 144 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 147 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ 333 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:29: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ 39 | beta = beta.tail(beta.size() - n_classes); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_solver.cpp:143:48: required from here 143 | ad::solver::multigaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 144 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 147 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:42:34: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ 42 | vec_value_t::Zero(n_classes) | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ rcpp_solver.cpp:143:48: required from here 143 | ad::solver::multigaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 144 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 147 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:159:35: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 159 | util::rowvec_type lmda_path; | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:159:35: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 159 | util::rowvec_type lmda_path; | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_pin_cov.hpp:67:8: required from ‘struct adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>’ 67 | struct StateGaussianPinCov: StateGaussianPinBase< | ^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:180:30: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 180 | state_gaussian_pin_cov_t state_gaussian_pin_cov( | ^~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 283 | matrix::dvveq(grad, v - grad, n_threads); | ~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, double, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::Array&, double, const Eigen::Map, 0, Eigen::Stride<0, 0> >&, double)::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:17:36: required from ‘auto adelie_core::solver::compute_lmda_max(const AbsGradType&, ValueType, const PenaltyType&, ValueType) [with AbsGradType = Eigen::Array; ValueType = double; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 17 | return vec_value_t::NullaryExpr( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 18 | abs_grad.size(), | ~~~~~~~~~~~~~~~~ 19 | [&](auto i) { | ~~~~~~~~~~~~~ 20 | return (penalty[i] <= 0.0) ? 0.0 : abs_grad[i] / penalty[i]; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 21 | } | ~ 22 | ).maxCoeff() / factor; | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:301:36: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 301 | lmda_max = compute_lmda_max(abs_grad, alpha, penalty); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:345:29: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 345 | large_lmda_path.head(large_lmda_path_size) = lmda_path.head(large_lmda_path_size); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:661:55: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 661 | Eigen::Map> ak_view(&ak); | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:662:67: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 662 | const Eigen::Map> A_kk_view(&A_kk); | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:664:70: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 664 | const Eigen::Map> Q_view(&Q); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:664:70: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 664 | const Eigen::Map> Q_view(&Q); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:45: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:22: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 283 | matrix::dvveq(grad, v - grad, n_threads); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:68: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ 37 | lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced( | ~~~~~~~~~~~~~~~~~~~~~~^ 38 | lmda_path_size, 0, lmda_path_size-1 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | )).exp(); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 312 | compute_lmda_path(lmda_path, min_ratio, lmda_max); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ 37 | lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced( | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ 38 | lmda_path_size, 0, lmda_path_size-1 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | )).exp(); | ~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 312 | compute_lmda_path(lmda_path, min_ratio, lmda_max); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:44: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ 37 | lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced( | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ 38 | lmda_path_size, 0, lmda_path_size-1 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | )).exp(); | ~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 312 | compute_lmda_path(lmda_path, min_ratio, lmda_max); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:39:15: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ 37 | lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | lmda_path_size, 0, lmda_path_size-1 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | )).exp(); | ~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 312 | compute_lmda_path(lmda_path, min_ratio, lmda_max); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/utils.hpp:37:30: required from ‘void adelie_core::solver::compute_lmda_path(LmdaPathType&, ValueType, ValueType) [with LmdaPathType = Eigen::Array; ValueType = double]’ 37 | lmda_path = lmda_max * (log_factor * vec_value_t::LinSpaced( | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | lmda_path_size, 0, lmda_path_size-1 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 39 | )).exp(); | ~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:312:26: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 312 | compute_lmda_path(lmda_path, min_ratio, lmda_max); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 103 | vec_value_t weights = vec_value_t::NullaryExpr( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 104 | G, [&](auto i) { | ~~~~~~~~~~~~~~~~ 105 | return (penalty[i] <= 0) ? | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | } | ~ 108 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:298:23: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 298 | solver::screen( | ~~~~~~~~~~~~~~^ 299 | state, | ~~~~~~ 300 | lmda, | ~~~~~ 301 | kkt_passed, | ~~~~~~~~~~~ 302 | n_new_active | ~~~~~~~~~~~~ 303 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixCovBase, double, int, int, int>, double>(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 121 | vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 122 | subset_size, | ~~~~~~~~~~~~ 123 | [&](auto i) { return weights[order[G-subset_size+i]]; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:298:23: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 298 | solver::screen( | ~~~~~~~~~~~~~~^ 299 | state, | ~~~~~~ 300 | lmda, | ~~~~~ 301 | kkt_passed, | ~~~~~~~~~~~ 302 | n_new_active | ~~~~~~~~~~~~ 303 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:62:48: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 62 | Eigen::Map> A_gg( | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:19: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:39: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:55: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:83: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:42: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:98:25: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 98 | ) = grad.segment(g, gs); | ~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:44: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:112 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:114 = double]’ 243 | matrix::dvsubi(grad, resid_sum * X_means, n_threads); | ~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:24: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 270 | hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast(); | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:96: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 270 | hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:60: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 270 | hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:270:28: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 270 | hess = hess.max(0) + value_t(Configs::hessian_min) * (hess <= 0).template cast(); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:272:29: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 272 | irls_weights = hess / hess_sum; | ~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:273:46: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 273 | irls_weights_sqrt = irls_weights.sqrt(); | ~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:29: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 274 | irls_y = irls_resid + eta - offsets; | ~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:274:35: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 274 | irls_y = irls_resid + eta - offsets; | ~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:43: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 275 | const auto y_mean = (irls_weights * irls_y).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:57: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 276 | const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean; | ~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:42: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 276 | const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:22: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 375 | eta = irls_y + offsets - irls_resid; | ~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:375:32: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 375 | eta = irls_y + offsets - irls_resid; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:30: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 392 | if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol * n_active) { | ~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:44: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 392 | if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol * n_active) { | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22: required from ‘static void Eigen::internal::sparse_vector_assign_selector::run(Dest&, const Src&) [with Dest = Eigen::SparseVector; Src = Eigen::Block, 1, -1, false>]’ 445 | SrcEvaluatorType srcEval(src); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 319 | internal::sparse_vector_assign_selector::run(tmp,other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multigaussian_naive.hpp:39:18: required from ‘void adelie_core::solver::multigaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::; CUIType = r_solve_multigaussian_naive_64(r_state_multigaussian_naive_64_t, bool)::]’ 39 | beta = beta.tail(beta.size() - n_classes); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_solver.cpp:143:48: required from here 143 | ad::solver::multigaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 144 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 146 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 147 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Array]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:288:29: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase&, typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if >::Scalar>::value, PrivateType>::type = Eigen::Array::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits >::Scalar = double]’ 288 | : Base(other.derived()) | ^ rcpp_glm.h:166:41: required from here 166 | vec_value_t y() const { return ptr->y; } | ~~~~~^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 371 | internal::call_assignment_no_alias(m_object,expr,internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 364 | construct(expr, internal::false_type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ 345 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_glm.h:174:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Array; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:92:24: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Scalar&) [with _Scalar = double; int _Rows = 1; int _Cols = 1; int _Options = 1; int _MaxRows = 1; int _MaxCols = 1; Scalar = double]’ 92 | Base::setConstant(value); | ~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:160:15: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 160 | lmda_path = lmda; | ~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:22:8: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 22 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:608:42: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 608 | Eigen::Map beta_map( | ^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 60 | const auto common_expr = grad.segment(k, size_k) - regul * sbeta; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 72 | constraint->gradient(sbeta, mu, vbuff); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 83 | abs_grad[i] = grad.segment(k, size_k).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:46: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ 66 | x1.segment(begin, size) -= x2.segment(begin, size); | ~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:112 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:114 = double]’ 243 | matrix::dvsubi(grad, resid_sum * X_means, n_threads); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ 103 | vec_value_t weights = vec_value_t::NullaryExpr( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 104 | G, [&](auto i) { | ~~~~~~~~~~~~~~~~ 105 | return (penalty[i] <= 0) ? | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | } | ~ 108 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 259 | solver::screen( | ~~~~~~~~~~~~~~^ 260 | state, | ~~~~~~ 261 | lmda, | ~~~~~ 262 | kkt_passed, | ~~~~~~~~~~~ 263 | n_new_active | ~~~~~~~~~~~~ 264 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ 121 | vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 122 | subset_size, | ~~~~~~~~~~~~ 123 | [&](auto i) { return weights[order[G-subset_size+i]]; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:259:23: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 259 | solver::screen( | ~~~~~~~~~~~~~~^ 260 | state, | ~~~~~~ 261 | lmda, | ~~~~~ 262 | kkt_passed, | ~~~~~~~~~~~ 263 | n_new_active | ~~~~~~~~~~~~ 264 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:23: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ 142 | beta0 = (hess * (irls_y + eta - offsets)).sum() / hess_sum; | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:141 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:146:21: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ 146 | eta = beta0 + offsets; | ~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:141 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:21: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 149 | hess.max(0) + | ~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:150:43: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:149:25: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 148 | inv_hess_grad = grad / ( | ~ 149 | hess.max(0) + | ~~~~~~~~~~~~^ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_base.hpp:148:30: required from ‘void adelie_core::glm::GlmBase::inv_hessian_gradient(const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, Eigen::Ref >) [with ValueType = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 148 | inv_hess_grad = grad / ( | ~~~~~^~~ 149 | hess.max(0) + | ~~~~~~~~~~~~~ 150 | value_t(Configs::hessian_min) * (hess <= 0).template cast() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:103:59: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ 103 | vec_value_t weights = vec_value_t::NullaryExpr( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 104 | G, [&](auto i) { | ~~~~~~~~~~~~~~~~ 105 | return (penalty[i] <= 0) ? | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | alpha * lmda : std::min(abs_grad[i] / penalty[i], alpha * lmda); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | } | ~ 108 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:135 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:136 = double; auto:137 = bool; auto:138 = int]’ 458 | solver::screen( | ~~~~~~~~~~~~~~^ 459 | state, | ~~~~~~ 460 | lmda, | ~~~~~ 461 | kkt_passed, | ~~~~~~~~~~~ 462 | n_new_active | ~~~~~~~~~~~~ 463 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>, double>(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, double, bool, int)::::, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:121:70: required from ‘void adelie_core::solver::screen(StateType&, ValueType, bool, int) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; ValueType = double]’ 121 | vec_value_t weights_sorted_sub = vec_value_t::NullaryExpr( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 122 | subset_size, | ~~~~~~~~~~~~ 123 | [&](auto i) { return weights[order[G-subset_size+i]]; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 124 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:458:23: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:135 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:136 = double; auto:137 = bool; auto:138 = int]’ 458 | solver::screen( | ~~~~~~~~~~~~~~^ 459 | state, | ~~~~~~ 460 | lmda, | ~~~~~ 461 | kkt_passed, | ~~~~~~~~~~~ 462 | n_new_active | ~~~~~~~~~~~~ 463 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:156:23: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 156 | irls_y += eta - offsets; | ~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:31: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 167 | (irls_weights_arr * irls_y_arr).colwise().sum() / | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:58: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 167 | (irls_weights_arr * irls_y_arr).colwise().sum() / | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:168:43: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 168 | irls_weights_arr.colwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:167:61: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 166 | beta0 = ( | ~ 167 | (irls_weights_arr * irls_y_arr).colwise().sum() / | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 168 | irls_weights_arr.colwise().sum() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 169 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, 1>’ 61 | template class Replicate | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Replicate, -1, 1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:179:41: required from ‘void adelie_core::solver::multiglm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = GlmWrap >; BufferPackType = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 179 | eta_arr = offsets_arr.rowwise() + beta0; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:411:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:665:30: required from ‘adelie_core::solver::gaussian::pin::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:74 = long unsigned int; value_t = double]’ 665 | constraint->solve(ak_view, mu, A_kk_view, gk_view, l1, l2, Q_view); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:240:35: required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = GaussianPinCovBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateScreenGradType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; size_t = long unsigned int]’ 240 | update_coordinate_g0_f( | ~~~~~~~~~~~~~~~~~~~~~~^ 241 | ss_idx, ak, A_kk, gk, l1 * pk, l2 * pk, 1 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 551 | coordinate_descent( | ~~~~~~~~~~~~~~~~~~^ 552 | state, | ~~~~~~ 553 | util::counting_iterator(0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 554 | util::counting_iterator(screen_set.size()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 555 | l, | ~~ 556 | convg_measure, | ~~~~~~~~~~~~~~ 557 | buffer_pack, | ~~~~~~~~~~~~ 558 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 559 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 560 | [](auto& state, auto& buffer_pack, const auto& indices, const auto& values) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 561 | update_screen_grad_screen(state, buffer_pack, indices, values); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 562 | }, | ~~ 563 | add_active_set | ~~~~~~~~~~~~~~ 564 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:268:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:269:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:269:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:276:59: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:280:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:340:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 340 | typename internal::enable_if::ScalarTypeMatch),Derived>::type* = 0) | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:690:30: required from ‘adelie_core::solver::gaussian::pin::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:75 = long unsigned int; auto:76 = Eigen::VectorBlock, -1>; auto:77 = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; auto:78 = Eigen::VectorBlock, -1>; auto:79 = double; auto:80 = double; auto:81 = Eigen::Matrix]’ 690 | constraint->solve(ak, mu, A_kk, gk, l1, l2, Q); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:281:35: required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = GaussianPinCovBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateScreenGradType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; size_t = long unsigned int]’ 281 | update_coordinate_g1_f( | ~~~~~~~~~~~~~~~~~~~~~~^ 282 | ss_idx, ak_transformed, A_kk, gk_transformed, l1 * pk, l2 * pk, Vk | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 283 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 551 | coordinate_descent( | ~~~~~~~~~~~~~~~~~~^ 552 | state, | ~~~~~~ 553 | util::counting_iterator(0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 554 | util::counting_iterator(screen_set.size()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 555 | l, | ~~ 556 | convg_measure, | ~~~~~~~~~~~~~~ 557 | buffer_pack, | ~~~~~~~~~~~~ 558 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 559 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 560 | [](auto& state, auto& buffer_pack, const auto& indices, const auto& values) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 561 | update_screen_grad_screen(state, buffer_pack, indices, values); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 562 | }, | ~~ 563 | add_active_set | ~~~~~~~~~~~~~~ 564 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:61: required from ‘void adelie_core::solver::gaussian::pin::cov::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, UpdateScreenGradType, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = GaussianPinCovBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateScreenGradType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; size_t = long unsigned int]’ 286 | if ((ak_old_transformed - ak_transformed).matrix().norm() <= | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:551:31: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 551 | coordinate_descent( | ~~~~~~~~~~~~~~~~~~^ 552 | state, | ~~~~~~ 553 | util::counting_iterator(0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 554 | util::counting_iterator(screen_set.size()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 555 | l, | ~~ 556 | convg_measure, | ~~~~~~~~~~~~~~ 557 | buffer_pack, | ~~~~~~~~~~~~ 558 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 559 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 560 | [](auto& state, auto& buffer_pack, const auto& indices, const auto& values) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 561 | update_screen_grad_screen(state, buffer_pack, indices, values); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 562 | }, | ~~ 563 | add_active_set | ~~~~~~~~~~~~~~ 564 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:297:65: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, Eigen::Transpose >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false> >, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false> >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false> >, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:297:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:301:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 265 | state::gaussian::naive::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 265 | state::gaussian::naive::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 265 | state::gaussian::naive::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:166:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:165:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Ref, 0, Eigen::OuterStride<> >, const Eigen::CwiseNullaryOp, Eigen::Array > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/glm/glm_multibase.hpp:164:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::OuterStride<> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:268:33: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 268 | glm.inv_hessian_gradient(eta, resid, hess, irls_resid); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:54: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ 105 | const auto convg_measure_curr = (var * del.square()).sum() / del.size(); | ~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:42: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ 105 | const auto convg_measure_curr = (var * del.square()).sum() / del.size(); | ~~~~~^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:22: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ 130 | rsq += (del * (2 * grad - del * x_var)).sum(); | ~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:35: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ 130 | rsq += (del * (2 * grad - del * x_var)).sum(); | ~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:29: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ 130 | rsq += (del * (2 * grad - del * x_var)).sum(); | ~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:17: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ 130 | rsq += (del * (2 * grad - del * x_var)).sum(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:224:10: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 221 | const auto screen_time = Eigen::Map>( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 222 | state_gaussian_pin_cov.benchmark_screen.data(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 223 | state_gaussian_pin_cov.benchmark_screen.size() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 224 | ).sum(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 83 | abs_grad[i] = grad.segment(k, size_k).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 463 | m_eivalues *= scale; | ~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:114:33: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ 114 | gk -= resid_sum * Xk_mean; | ~~~~~~~~~~^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 177 | pin::naive::solve( | ~~~~~~~~~~~~~~~~~^ 178 | state_gaussian_pin_naive, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 179 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 180 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:123 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:124 = double]’ 268 | return fit( | ~~~^ 269 | state, | ~~~~~~ 270 | buffer_pack, | ~~~~~~~~~~~~ 271 | lmda, | ~~~~~ 272 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 273 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:151:26: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ 151 | del = ak_old - ak; | ~~~~~~~^~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 177 | pin::naive::solve( | ~~~~~~~~~~~~~~~~~^ 178 | state_gaussian_pin_naive, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 179 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 180 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:123 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:124 = double]’ 268 | return fit( | ~~~^ 269 | state, | ~~~~~~ 270 | buffer_pack, | ~~~~~~~~~~~~ 271 | lmda, | ~~~~~ 272 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 273 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:38: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ 30 | const value_t a = vbuffer1.matrix().squaredNorm(); | ~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:34: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ 31 | const value_t v_l1 = v.matrix().template lpNorm<1>(); | ~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:20: required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ 92 | h_max = (v / vbuffer1).matrix().norm(); | ~~~^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:38: required from ‘auto adelie_core::bcd::root_upper_bound(const DiagType&, const VType&, ValueType, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ 92 | h_max = (v / vbuffer1).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:208:48: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 208 | const auto h_max_out = root_upper_bound(vbuffer1, v, l1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:36: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ 107 | return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1; | ~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:40: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ 107 | return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1; | ~~~~~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:23: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ 107 | return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1; | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:53: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ 107 | return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 230 | fh = root_function(h_cand, vbuffer1, v, l1); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:450:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 265 | state::gaussian::naive::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 265 | state::gaussian::naive::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:271:39: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 271 | const auto hess_sum = hess.sum(); | ~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:275:56: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 275 | const auto y_mean = (irls_weights * irls_y).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:276:64: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 276 | const auto y_var = (irls_weights * irls_y.square()).sum() - intercept * y_mean * y_mean; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:392:67: required from ‘auto adelie_core::solver::glm::naive::fit(StateType&, GlmType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack; ValueType = double; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 392 | if (std::abs(((resid - resid_prev) * (eta - eta_prev)).sum()) <= irls_tol * n_active) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:467:19: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:139 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:140 = double]’ 467 | return fit( | ~~~^ 468 | state, | ~~~~~~ 469 | glm, | ~~~~ 470 | buffer_pack, | ~~~~~~~~~~~~ 471 | lmda, | ~~~~~ 472 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 473 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:20: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ 67 | x = v / (L + l2); | ~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:67:15: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ 67 | x = v / (L + l2); | ~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:28: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ 79 | x = (v * vbuffer2).square(); | ~~~~~~~~~~~~~~~^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:79:11: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ 79 | x = (v * vbuffer2).square(); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:11: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ 81 | auto dfh = -2.0 * ( | ~ 82 | x * vbuffer1 * vbuffer2 | ~~~~~~~~~~~~~~~~~~~~~~~ 83 | ).sum(); | ~~^~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:78:22: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:56 = double]’ 78 | vbuffer2 = 1 / (vbuffer1 * h + l1); | ~~^~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:101:15: required from ‘void adelie_core::bcd::unconstrained::newton_solver_base(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, InitialType, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; InitialType = newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; size_t = long unsigned int]’ 101 | x = h * v * vbuffer2; | ~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:245:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’ 1452 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:29:114: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 265 | state::gaussian::naive::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ 33 | += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1))); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:265:54: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:119 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:120 = double; auto:121 = bool; auto:122 = int]’ 265 | state::gaussian::naive::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:142:54: required from ‘void adelie_core::solver::glm::naive::update_loss_null(StateType&, GlmType&, BufferPackType&) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; GlmType = adelie_core::glm::GlmBase; BufferPackType = GlmNaiveBufferPack]’ 142 | beta0 = (hess * (irls_y + eta - offsets)).sum() / hess_sum; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:508:29: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:141 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:142 = adelie_core::glm::GlmBase; auto:143 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; UpdateLossNullType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::, r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:502:10: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::; CUIType = r_solve_glm_naive_64(r_state_glm_naive_64_t, r_glm_base_64_t&, bool)::]’ 502 | solve( | ~~~~~^ 503 | std::forward(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 504 | std::forward(glm), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 505 | std::forward(pb), | ~~~~~~~~~~~~~~~~~~~~~~~~~ 506 | exit_cond_f, | ~~~~~~~~~~~~ 507 | [](auto& state, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 508 | update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | }, | ~~ 510 | [](){}, | ~~~~~~~ 511 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 512 | ); | ~ rcpp_solver.cpp:106:38: required from here 106 | ad::solver::glm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 107 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 108 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 109 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 110 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:96:33: required from ‘void adelie_core::matrix::dvveq(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Array >; size_t = long unsigned int]’ 96 | x1.segment(begin, size) = x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:283:22: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 283 | matrix::dvveq(grad, v - grad, n_threads); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 367 | matA.col(i).coeffRef(i+1) = 1; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:181:18: required from ‘Derived& Eigen::ArrayBase::operator-=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 181 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/utils.hpp:66:33: required from ‘void adelie_core::matrix::dvsubi(X1Type&, const X2Type&, size_t) [with X1Type = Eigen::Array; X2Type = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; size_t = long unsigned int]’ 66 | x1.segment(begin, size) -= x2.segment(begin, size); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:243:27: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:112 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:113 = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>; auto:114 = double]’ 243 | matrix::dvsubi(grad, resid_sum * X_means, n_threads); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:105:61: required from ‘void adelie_core::solver::gaussian::pin::update_convergence_measure(ValueType&, const DelType&, const VarType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; VarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>]’ 105 | const auto convg_measure_curr = (var * del.square()).sum() / del.size(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:292:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Block, 1, -1, false> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:130:48: required from ‘void adelie_core::solver::gaussian::pin::update_rsq(ValueType&, const DelType&, const XVarType&, const GradType&) [with ValueType = double; DelType = Eigen::VectorBlock, -1>; XVarType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; GradType = Eigen::VectorBlock, -1>]’ 130 | rsq += (del * (2 * grad - del * x_var)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:294:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/util/eigen/map_sparsevector.hpp:75:9: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 75 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:445:22: required from ‘static void Eigen::internal::sparse_vector_assign_selector::run(Dest&, const Src&) [with Dest = Eigen::SparseVector; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 445 | SrcEvaluatorType srcEval(src); | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:319:78: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>& Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 319 | internal::sparse_vector_assign_selector::run(tmp,other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:273:13: required from ‘Eigen::SparseVector<_Scalar, _Flags, _StorageIndex>::SparseVector(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 273 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /usr/include/c++/14/bits/new_allocator.h:191:4: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 83 | abs_grad[i] = grad.segment(k, size_k).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:285:31: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:85 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:86 = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>; auto:87 = double]’ 285 | state::update_abs_grad(state, lmda); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:299:28: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 299 | update_invariance_f(state, state_gaussian_pin, large_lmda); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:153:45: required from ‘void adelie_core::solver::gaussian::pin::naive::coordinate_descent(StateType&&, Iter, Iter, size_t, ValueType&, BufferPackType&, UpdateCoefficientG0Type, UpdateCoefficientG1Type, AdditionalStepType) [with StateType = adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&; Iter = adelie_core::util::counting_iterator; ValueType = double; BufferPackType = adelie_core::solver::gaussian::pin::GaussianPinBufferPack; UpdateCoefficientG0Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateCoefficientG1Type = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; AdditionalStepType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianPinNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int>&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; size_t = long unsigned int]’ 153 | resid_sum += (Xk_mean * del).sum(); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_naive.hpp:314:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:177:26: required from ‘auto adelie_core::solver::gaussian::naive::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; BufferPackType = GaussianNaiveBufferPack; ValueType = double; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 177 | pin::naive::solve( | ~~~~~~~~~~~~~~~~~^ 178 | state_gaussian_pin_naive, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 179 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 180 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:268:19: required from ‘adelie_core::solver::gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::):: [with auto:123 = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:124 = double]’ 268 | return fit( | ~~~^ 269 | state, | ~~~~~~ 270 | buffer_pack, | ~~~~~~~~~~~~ 271 | lmda, | ~~~~~ 272 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 273 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateLossNullType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateInvarianceType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; UpdateSolutionsType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; EarlyExitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; ScreenType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; FitType = gaussian::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:276:23: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, TidyType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; TidyType = solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool):: >(adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::, r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 276 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 277 | state, | ~~~~~~ 278 | pb, | ~~~ 279 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 280 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 281 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 282 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 283 | early_exit_f, | ~~~~~~~~~~~~~ 284 | screen_f, | ~~~~~~~~~ 285 | fit_f | ~~~~~ 286 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_naive.hpp:300:10: required from ‘void adelie_core::solver::gaussian::naive::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::; CUIType = r_solve_gaussian_naive_64(r_state_gaussian_naive_64_t, bool)::]’ 300 | solve( | ~~~~~^ 301 | state, | ~~~~~~ 302 | pb, | ~~~ 303 | exit_cond_f, | ~~~~~~~~~~~~ 304 | [](){}, | ~~~~~~~ 305 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 306 | ); | ~ rcpp_solver.cpp:68:43: required from here 68 | ad::solver::gaussian::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 69 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 70 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 71 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 72 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:29:40: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ 29 | const value_t b = l1 * vbuffer1.sum(); | ~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: required from ‘void adelie_core::bcd::unconstrained::newton_abs_solver(const LType&, const VType&, ValueType, ValueType, ValueType, size_t, XType&, size_t&, BufferType&, BufferType&) [with LType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double; XType = Eigen::VectorBlock, -1>; BufferType = Eigen::Map, 0, Eigen::Stride<0, 0> >; size_t = long unsigned int]’ 207 | const value_t h_min = root_lower_bound(vbuffer1, v, l1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_base.hpp:161:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:286:68: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:30:52: required from ‘auto adelie_core::bcd::root_lower_bound(const DiagType&, const VType&, ValueType) [with DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>; ValueType = double]’ 30 | const value_t a = vbuffer1.matrix().squaredNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:207:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:107:67: required from ‘auto adelie_core::bcd::root_function(ValueType, const DiagType&, const VType&, ValueType) [with ValueType = double; DiagType = Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>; VType = Eigen::VectorBlock, -1>]’ 107 | return (v.array() / (D.array() * h + l1)).matrix().squaredNorm() - 1; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:230:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, 1, -1, false>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, 1, -1, false> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:80:24: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:56 = double]’ 80 | auto fh = x.sum() - 1.0; | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; StepType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ValueType = double; size_t = long unsigned int]’ 47 | const auto step_state = step_f(h); | ~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:83:14: required from ‘adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: [with auto:56 = double]’ 81 | auto dfh = -2.0 * ( | ~ 82 | x * vbuffer1 * vbuffer2 | ~~~~~~~~~~~~~~~~~~~~~~~ 83 | ).sum(); | ~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/optimization/newton.hpp:47:35: required from ‘auto adelie_core::optimization::newton_root_find(InitialType, StepType, ProjectType, ValueType, size_t) [with InitialType = adelie_core::bcd::unconstrained::newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; StepType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ProjectType = adelie_core::bcd::unconstrained::newton_solver_base, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> >, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&):: >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, newton_abs_solver, 0, Eigen::Stride<0, 0> >, -1>, Eigen::VectorBlock, -1>, double, Eigen::VectorBlock, -1>, Eigen::Map, 0, Eigen::Stride<0, 0> > >(const Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>&, const Eigen::VectorBlock, -1>&, double, double, double, size_t, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::, Eigen::VectorBlock, -1>&, size_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, Eigen::Map, 0, Eigen::Stride<0, 0> >&)::; ValueType = double; size_t = long unsigned int]’ 47 | const auto step_state = step_f(h); | ~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:91:64: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:31:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/utils.hpp:92:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/bcd/unconstrained/newton.hpp:56:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 2, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; Rhs = const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; Eigen::Index = long int]’ 790 | return m_d.func().packetOp(m_d.lhsImpl.template packet(index), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, -1, 2, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:791:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; Rhs = const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0>; Eigen::Index = long int]’ 791 | m_d.rhsImpl.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::member_sum, 0>, const Eigen::PartialReduxExpr, 0, Eigen::Stride<0, 0> >, Eigen::internal::member_sum, 0> > >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ 206 | gemv_dense_selector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >; Dest = Eigen::Transpose >; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:241:46: required from ‘adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:144 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>; auto:145 = adelie_core::solver::multiglm::naive::GlmWrap >; auto:146 = adelie_core::solver::glm::naive::GlmNaiveBufferPack]’ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:434:48: required from ‘adelie_core::solver::glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::):: [with auto:127 = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 434 | if (setup_loss_null) update_loss_null_f(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:278:23: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateLossNullType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateInvarianceType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; UpdateSolutionsType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; EarlyExitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; ScreenType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; FitType = glm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::solver::multiglm::naive::GlmWrap >&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::]’ 278 | update_loss_null_f(state); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_glm_naive.hpp:476:23: required from ‘void adelie_core::solver::glm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, UpdateLossNullType, TidyType, CUIType) [with StateType = adelie_core::state::StateGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::solver::multiglm::naive::GlmWrap >&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; UpdateLossNullType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; TidyType = adelie_core::solver::multiglm::naive::solve, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool):: >(adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&, adelie_core::glm::GlmMultiBase&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::, r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 476 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 477 | state, | ~~~~~~ 478 | pb, | ~~~ 479 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 480 | update_loss_null_wrap_f, | ~~~~~~~~~~~~~~~~~~~~~~~~ 481 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 482 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 483 | early_exit_f, | ~~~~~~~~~~~~~ 484 | screen_f, | ~~~~~~~~~ 485 | fit_f | ~~~~~ 486 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_multiglm_naive.hpp:234:22: required from ‘void adelie_core::solver::multiglm::naive::solve(StateType&&, GlmType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateMultiGlmNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>&; GlmType = adelie_core::glm::GlmMultiBase&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::; CUIType = r_solve_multiglm_naive_64(r_state_multiglm_naive_64_t, r_glm_multibase_64_t&, bool)::]’ 234 | glm::naive::solve( | ~~~~~~~~~~~~~~~~~^ 235 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 236 | glm_wrap, | ~~~~~~~~~ 237 | pb, | ~~~ 238 | exit_cond_f, | ~~~~~~~~~~~~ 239 | [&](auto&, auto& glm, auto& buffer_pack) { | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 240 | // ignore casted down state and use derived state | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 241 | multiglm::naive::update_loss_null(state, glm, buffer_pack); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | }, | ~~ 243 | tidy, | ~~~~~ 244 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 245 | ); | ~ rcpp_solver.cpp:181:43: required from here 181 | ad::solver::multiglm::naive::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 182 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | *glm.ptr, pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 185 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, 1, -1, true> >, const Eigen::Block >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false> >, 1, -1, true>; U = Eigen::Block >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, true>; Derived = Eigen::Block, 1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_pin_cov.hpp:694:10: required from ‘void adelie_core::solver::gaussian::pin::cov::solve(StateType&&, CUIType) [with StateType = adelie_core::state::StateGaussianPinCov, adelie_core::matrix::MatrixCovBase, double, int, int>&; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 694 | solve( | ~~~~~^ 695 | state, | ~~~~~~ 696 | update_coordinate_g0_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 697 | update_coordinate_g1_f, | ~~~~~~~~~~~~~~~~~~~~~~~ 698 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 699 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:209:24: required from ‘auto adelie_core::solver::gaussian::cov::fit(StateType&, BufferPackType&, ValueType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; BufferPackType = GaussianCovBufferPack; ValueType = double; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 209 | pin::cov::solve( | ~~~~~~~~~~~~~~~^ 210 | state_gaussian_pin_cov, | ~~~~~~~~~~~~~~~~~~~~~~~ 211 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 212 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:307:19: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:96 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:97 = double]’ 307 | return fit( | ~~~^ 308 | state, | ~~~~~~ 309 | buffer_pack, | ~~~~~~~~~~~~ 310 | lmda, | ~~~~~ 311 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 312 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:296:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 296 | auto tup = fit_f(state, large_lmda); | ~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:304:52: required from ‘adelie_core::solver::gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::):: [with auto:92 = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>; auto:93 = double; auto:94 = bool; auto:95 = int]’ 304 | state::gaussian::cov::update_screen_derived(state); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_base.hpp:412:25: required from ‘void adelie_core::solver::solve_core(StateType&&, PBType&&, PBAddSuffixType, UpdateLossNullType, UpdateInvarianceType, UpdateSolutionsType, EarlyExitType, ScreenType, FitType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; PBAddSuffixType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateLossNullType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateInvarianceType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; UpdateSolutionsType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; EarlyExitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; ScreenType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::; FitType = gaussian::cov::solve, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool):: >(adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&, adelie_core::util::tq::tqdm_for_rvalues >&, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::, r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::)::]’ 412 | screen_f(state, lmda_curr, kkt_passed, n_new_active); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/solver/solver_gaussian_cov.hpp:315:23: required from ‘void adelie_core::solver::gaussian::cov::solve(StateType&&, PBType&&, ExitCondType, CUIType) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>&; PBType = adelie_core::util::tq::tqdm_for_rvalues >&; ExitCondType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::; CUIType = r_solve_gaussian_cov_64(r_state_gaussian_cov_64_t&, bool)::]’ 315 | solver::solve_core( | ~~~~~~~~~~~~~~~~~~^ 316 | state, | ~~~~~~ 317 | pb, | ~~~ 318 | pb_add_suffix_f, | ~~~~~~~~~~~~~~~~ 319 | update_loss_null_f, | ~~~~~~~~~~~~~~~~~~~ 320 | update_invariance_f, | ~~~~~~~~~~~~~~~~~~~~ 321 | update_solutions_f, | ~~~~~~~~~~~~~~~~~~~ 322 | early_exit_f, | ~~~~~~~~~~~~~ 323 | screen_f, | ~~~~~~~~~ 324 | fit_f | ~~~~~ 325 | ); | ~ rcpp_solver.cpp:31:41: required from here 31 | ad::solver::gaussian::cov::solve( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 32 | static_cast(state), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | pb, [](){ return false; }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 34 | check_user_interrupt | ~~~~~~~~~~~~~~~~~~~~ 35 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -I"/usr/include/R" -DNDEBUG -I../inst/adelie/adelie/src/include -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -I'/usr/local/lib/R/library/Rcpp/include' -I'/usr/local/lib/R/library/RcppEigen/include' -I/usr/local/include -fopenmp -fpic -O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -c rcpp_state.cpp -o rcpp_state.o In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:205, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:28, from /usr/local/lib/R/library/RcppEigen/include/RcppEigen.h:25, from decl.h:3, from rcpp_constraint.h:2, from rcpp_state.cpp:1: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:174: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:165: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:271: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /usr/local/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /usr/local/lib/R/library/RcppEigen/include/RcppEigenForward.h:29: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:17:8: required from ‘struct Eigen::internal::traits >’ 17 | struct traits > : traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ 58 | virtual void solve( | ^~~~~ rcpp_constraint.h:18:9: required from here 27 | if (!ptr) { \ | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ 58 | virtual void solve( | ^~~~~ rcpp_constraint.h:18:9: required from here 27 | if (!ptr) { \ | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/constraint/constraint_base.hpp:58:18: required from ‘class adelie_core::constraint::ConstraintBase’ 58 | virtual void solve( | ^~~~~ rcpp_constraint.h:18:9: required from here 27 | if (!ptr) { \ | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 281 | template class Ref | ^~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:93:1: required from here 93 | ) | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:329:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ 329 | template class Ref | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:237:5: required from here 237 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits, 0, Eigen::Stride<0, 0> > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 0, Eigen::Stride<0, 0> > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_io.h:29:5: required from here 29 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_io.h:29:5: required from here 29 | { | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_base.hpp:186:18: required from ‘class adelie_core::matrix::MatrixNaiveBase’ 186 | virtual void sp_btmul( | ^~~~~~~~ rcpp_matrix.h:269:34: required from here 269 | int rows() const { return ptr->rows(); } | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_matrix.h:289:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ rcpp_matrix.h:297:35: required from here 297 | dense_64F_t outT(rows(), v.rows()); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_matrix.h:299:40: required from here 299 | Eigen::Map out(outT.data(), outT.cols(), outT.rows()); | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ 59 | template class RefBase | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ 281 | template class Ref | ^~~ rcpp_matrix.h:300:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/matrix/matrix_naive_interaction.hpp:26:37: required from ‘class adelie_core::matrix::MatrixNaiveInteractionDense, int>’ 26 | const Eigen::Map _mat; // (n, d) underlying matrix | ^~~~ rcpp_matrix.h:314:1: required from here 315 | auto groups() const { return dynamic_cast(*ptr).groups(); } | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:225:28: required from ‘struct adelie_core::state::StateBase, double, int, int, int>’ 225 | const map_cvec_value_t penalty; | ^~~~~~~ rcpp_state.h:31:28: required from here 31 | class RStateBase64: public state_base_64_t | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = ]’ 434 | Rcpp::class_("RStateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 435 | .derives("StateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 436 | .factory(make_r_state_gaussian_cov_64) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | .property("betas", &betas, "") | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ rcpp_state.cpp:31:16: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ 31 | Eigen::Map( | ^~~~~~~~~~~~~~~~~ 32 | values.data() + inner_idx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 33 | nnz_curr | ~~~~~~~~ 34 | ) = Eigen::Map( | ~ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = ]’ 434 | Rcpp::class_("RStateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 435 | .derives("StateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 436 | .factory(make_r_state_gaussian_cov_64) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | .property("betas", &betas, "") | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_state.cpp:49:18: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ 49 | out = Eigen::Map( | ^~~~~~~~~~~~~~~~~~~~ 50 | l, | ~~ 51 | p, | ~~ 52 | nnz, | ~~~~ 53 | outers.data(), | ~~~~~~~~~~~~~~ 54 | inners.data(), | ~~~~~~~~~~~~~~ 55 | values.data() | ~~~~~~~~~~~~~ 56 | ); | ~ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = ]’ 434 | Rcpp::class_("RStateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 435 | .derives("StateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 436 | .factory(make_r_state_gaussian_cov_64) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | .property("betas", &betas, "") | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:977:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 977 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1018:71: required from ‘struct Eigen::internal::evaluator, 0, Eigen::InnerStride<1> > >’ 1018 | Flags = evaluator >::Flags, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::InnerStride<1> > >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:344:23: required from ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’ 344 | compute_impute(calldata, impute_method, impute, n_threads); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp:3, from rcpp_io.h:3, from rcpp_matrix.h:4, from rcpp_state.h:3, from rcpp_state.cpp:2: ../inst/adelie/adelie/src/include/adelie_core/io/io_snp_unphased.hpp: In instantiation of ‘std::tuple, std::allocator >, double, std::hash, std::allocator > >, std::equal_to, std::allocator > >, std::allocator, std::allocator >, double> > > > adelie_core::io::IOSNPUnphased::write(const Eigen::Ref >&, const std::string&, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t) const [with MmapPtrType = std::shared_ptr; std::string = std::__cxx11::basic_string; size_t = long unsigned int]’: rcpp_io.h:32:41: required from here 32 | return std::get<0>(base_t::write(calldata8, impute_method, impute, n_threads)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/io/utils.hpp:91:43: note: initializing argument 3 of ‘void adelie_core::io::compute_impute(const Eigen::Ref >&, adelie_core::util::impute_method_type, Eigen::Ref, 0, Eigen::InnerStride<1> >, size_t)’ 91 | Eigen::Ref> impute, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Ref, 0, Eigen::InnerStride<1> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Ref, 0, Eigen::InnerStride<1> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:34: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 252 | weights_sqrt(weights.sqrt()), | ~~~~~~~~~~~~^~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 1181 | const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator::Flags & RowMajorBit); | ^~~~~ rcpp_state.cpp:49:9: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ 49 | out = Eigen::Map( | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 50 | l, | ~~ 51 | p, | ~~ 52 | nnz, | ~~~~ 53 | outers.data(), | ~~~~~~~~~~~~~~ 54 | inners.data(), | ~~~~~~~~~~~~~~ 55 | values.data() | ~~~~~~~~~~~~~ 56 | ); | ~ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix]’ 434 | Rcpp::class_("RStateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 435 | .derives("StateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 436 | .factory(make_r_state_gaussian_cov_64) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | .property("betas", &betas, "") | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:62:48: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 62 | Eigen::Map> A_gg( | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:70:46: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 70 | util::colmat_type Q; | ^ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:70:46: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 70 | util::colmat_type Q; | ^ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:100:128: required from ‘class Eigen::Tridiagonalization >’ 100 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:19: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~^~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:39: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:55: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~~^~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::CastXpr::Type Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:83: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:42: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:98:25: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 98 | ) = grad.segment(g, gs); | ~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 56 | Xi_means = X_means.segment(g, gs); | ~~~~~~~~~~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 0, Eigen::Stride<0, 0> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:51: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 71 | XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:63: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 71 | XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:72:76: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 72 | XiTXi.template triangularView() = XiTXi.transpose(); | ~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:371:41: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::false_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 371 | internal::call_assignment_no_alias(m_object,expr,internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:364:18: required from ‘void Eigen::Ref::construct(const Expression&, Eigen::internal::true_type) [with Expression = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>]’ 364 | construct(expr, internal::false_type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:345:16: required from ‘Eigen::Ref::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type*) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; TPlainObjectType = Eigen::Array; int Options = 0; StrideType = Eigen::InnerStride<1>; typename Eigen::internal::enable_if<(bool)(typename Eigen::internal::traits >::match::ScalarTypeMatch), Derived>::type = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits >::match = Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 0, Eigen::Stride<0, 0> > >]’ 345 | construct(expr.derived(), typename Traits::template match::type()); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_matrix.h:252:17: required from here 30 | return ptr->name(__VA_ARGS__); \ | ~~~~~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 60 | const auto common_expr = grad.segment(k, size_k) - regul * sbeta; | ~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:66: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 60 | const auto common_expr = grad.segment(k, size_k) - regul * sbeta; | ~~~~~~^~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:60:58: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 60 | const auto common_expr = grad.segment(k, size_k) - regul * sbeta; | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:45: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:66:35: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 66 | auto vbuff = buff.head(size_k); | ~~~~~~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:277: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match, 1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::InnerStride<1> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:72:33: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 72 | constraint->gradient(sbeta, mu, vbuff); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:40: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~^~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:55: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, 1, -1, false> >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:53: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 83 | abs_grad[i] = grad.segment(k, size_k).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit); | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; _Scalar = double; int _Options = 1; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ rcpp_state.cpp:49:9: required from ‘auto convert_betas(size_t, const BetasType&) [with BetasType = std::vector, std::allocator > >; size_t = long unsigned int]’ 49 | out = Eigen::Map( | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 50 | l, | ~~ 51 | p, | ~~ 52 | nnz, | ~~~~ 53 | outers.data(), | ~~~~~~~~~~~~~~ 54 | inners.data(), | ~~~~~~~~~~~~~~ 55 | values.data() | ~~~~~~~~~~~~~ 56 | ); | ~ rcpp_state.cpp:437:18: recursively required by substitution of ‘template Rcpp::class_::self& Rcpp::class_::property(const char*, PROP (*)(RStateGaussianCov64*), void (*)(RStateGaussianCov64*, PROP), const char*) [with PROP = Eigen::SparseMatrix]’ 434 | Rcpp::class_("RStateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 435 | .derives("StateGaussianCov64") | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 436 | .factory(make_r_state_gaussian_cov_64) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | .property("betas", &betas, "") | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_state.cpp:437:18: required from here /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:568:20: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 568 | eivec.col(i).swap(eivec.col(k+i)); | ~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 463 | m_eivalues *= scale; | ~~~~~~~~~~~^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:57:62: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 57 | typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType; | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 71 | XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:73:7: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 73 | Map(actualOtherPtr, actualOther.size()) = actualOther; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 71 | XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, 1, -1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, 1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 83 | abs_grad[i] = grad.segment(k, size_k).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:735:21: required from ‘Derived& Eigen::PlainObjectBase::setOnes(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ 735 | return setConstant(Scalar(1)); | ~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:440:22: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 440 | m_eivec.setOnes(n,n); | ~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 75 | selfadjoint_rank1_update::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 71 | XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 75 | selfadjoint_rank1_update::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 71 | XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:33:36: required from ‘static void Eigen::selfadjoint_rank1_update::run(Index, Scalar*, Index, const Scalar*, const Scalar*, const Scalar&) [with Scalar = double; Index = long int; int UpLo = 1; bool ConjLhs = false; bool ConjRhs = false]’ 33 | += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1))); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:78:16: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 75 | selfadjoint_rank1_update::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 77 | (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 78 | ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >; _MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:71:35: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 71 | XiTXi_lower.rankUpdate(Xi_means.matrix().transpose(), -1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::InnerStride<1> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:887:41: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array; Src = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; Derived = Eigen::Array]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:210:31: required from ‘Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const T&) [with T = Eigen::CwiseUnaryOp, const Eigen::Ref, 0, Eigen::InnerStride<1> > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ 210 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:252:9: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 252 | weights_sqrt(weights.sqrt()), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1452:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, Eigen::internal::IndexBased, double>’ 1452 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 367 | matA.col(i).coeffRef(i+1) = 1; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > > >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:86:30: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 86 | svars.head(D.size()) = D.array() * (D.array() >= 0).template cast(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:41:28: required from ‘Derived& Eigen::DenseBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 41 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:56:18: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(XType&, const XMType&, const WType&, const GroupsType&, const GroupSizesType&, const SSType&, const SBType&, size_t, size_t, bool, SXMType&, STType&, SVType&) [with XType = adelie_core::matrix::MatrixNaiveBase; XMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; WType = Eigen::Array; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SSType = std::vector; SBType = std::vector; SXMType = std::vector; STType = std::vector, std::allocator > >; SVType = std::vector; size_t = long unsigned int]’ 56 | Xi_means = X_means.segment(g, gs); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:129:26: required from ‘void adelie_core::state::gaussian::naive::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianNaive, adelie_core::matrix::MatrixNaiveBase, double, int, int, int>]’ 129 | update_screen_derived( | ~~~~~~~~~~~~~~~~~~~~~^ 130 | *state.X, | ~~~~~~~~~ 131 | state.X_means, | ~~~~~~~~~~~~~~ 132 | state.weights_sqrt, | ~~~~~~~~~~~~~~~~~~~ 133 | state.groups, | ~~~~~~~~~~~~~ 134 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 135 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 136 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 137 | old_screen_size, | ~~~~~~~~~~~~~~~~ 138 | new_screen_size, | ~~~~~~~~~~~~~~~~ 139 | state.intercept, | ~~~~~~~~~~~~~~~~ 140 | state.screen_X_means, | ~~~~~~~~~~~~~~~~~~~~~ 141 | state.screen_transforms, | ~~~~~~~~~~~~~~~~~~~~~~~~ 142 | state.screen_vars | ~~~~~~~~~~~~~~~~~ 143 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_naive.hpp:270:47: required from ‘adelie_core::state::StateGaussianNaive::StateGaussianNaive(matrix_t&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixNaiveBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixNaiveBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; base_t = adelie_core::state::StateBase, double, int, int, int>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 270 | gaussian::naive::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:47:19: required from here 47 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:63:52: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 63 | abs_grad[i] = common_expr.matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::Block, 1, -1, false> > >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:73:62: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 73 | abs_grad[i] = (common_expr - vbuff).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, 1, -1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, 1, -1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::MatrixWrapper, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:83:60: required from ‘void adelie_core::state::update_abs_grad(const ConstraintsType&, const GroupsType&, const GroupSizesType&, const PenaltyType&, const GradType&, const ScreenSetType&, const ScreenHashsetType&, const ScreenBeginsType&, const ScreenBetaType&, const ScreenDualBeginsType&, const ScreenDualType&, ValueType, ValueType, AbsGradType&, size_t) [with ConstraintsType = std::vector*, std::allocator*> >; GroupsType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GroupSizesType = Eigen::Map, 0, Eigen::Stride<0, 0> >; PenaltyType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradType = Eigen::Array; ScreenSetType = std::vector; ScreenHashsetType = std::unordered_set; ScreenBeginsType = std::vector; ScreenBetaType = std::vector; ScreenDualBeginsType = std::vector; ScreenDualType = std::vector; ValueType = double; AbsGradType = Eigen::Array; size_t = long unsigned int]’ 83 | abs_grad[i] = grad.segment(k, size_k).matrix().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:106:20: required from ‘void adelie_core::state::update_abs_grad(StateType&, ValueType) [with StateType = StateBase, double, int, int, int>; ValueType = double]’ 106 | update_abs_grad( | ~~~~~~~~~~~~~~~^ 107 | state.constraints, | ~~~~~~~~~~~~~~~~~~ 108 | state.groups, | ~~~~~~~~~~~~~ 109 | state.group_sizes, | ~~~~~~~~~~~~~~~~~~ 110 | state.penalty, | ~~~~~~~~~~~~~~ 111 | state.grad, | ~~~~~~~~~~~ 112 | state.screen_set, | ~~~~~~~~~~~~~~~~~ 113 | state.screen_hashset, | ~~~~~~~~~~~~~~~~~~~~~ 114 | state.screen_begins, | ~~~~~~~~~~~~~~~~~~~~ 115 | state.screen_beta, | ~~~~~~~~~~~~~~~~~~ 116 | state.screen_dual_begins, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 117 | state.screen_dual, | ~~~~~~~~~~~~~~~~~~ 118 | lmda, | ~~~~~ 119 | state.alpha, | ~~~~~~~~~~~~ 120 | state.abs_grad, | ~~~~~~~~~~~~~~~ 121 | state.n_threads | ~~~~~~~~~~~~~~~ 122 | ); | ~ ../inst/adelie/adelie/src/include/adelie_core/state/state_base.hpp:436:24: required from ‘adelie_core::state::StateBase::StateBase(const dyn_vec_constraint_t&, const Eigen::Ref >&, const Eigen::Ref >&, value_t, const Eigen::Ref >&, const Eigen::Ref >&, value_t, value_t, size_t, size_t, size_t, value_t, size_t, value_t, const std::string&, size_t, value_t, value_t, value_t, value_t, size_t, bool, bool, bool, bool, size_t, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, const Eigen::Ref >&, size_t, const Eigen::Ref >&, value_t, const Eigen::Ref >&) [with ConstraintType = adelie_core::constraint::ConstraintBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; dyn_vec_constraint_t = std::vector*, std::allocator*> >; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; value_t = double; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 436 | update_abs_grad(*this, lmda); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:232:16: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 232 | rsq(rsq) | ^ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:337: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:166: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:892:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:333: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:330: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:77:67: required from ‘void adelie_core::state::gaussian::cov::update_screen_derived(StateType&) [with StateType = adelie_core::state::StateGaussianCov, adelie_core::matrix::MatrixCovBase, double, int, int, int>]’ 77 | Eigen::SelfAdjointEigenSolver> solver(A_gg); | ^~~~~~ ../inst/adelie/adelie/src/include/adelie_core/state/state_gaussian_cov.hpp:235:45: required from ‘adelie_core::state::StateGaussianCov::StateGaussianCov(matrix_t&, const Eigen::Ref::vec_value_t>&, const typename base_t::dyn_vec_constraint_t&, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_value_t>&, typename base_t::value_t, typename base_t::value_t, size_t, size_t, size_t, typename base_t::value_t, size_t, typename base_t::value_t, const std::string&, size_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, size_t, bool, bool, bool, size_t, const Eigen::Ref::vec_index_t>&, const Eigen::Ref::vec_value_t>&, const Eigen::Ref::vec_bool_t>&, const Eigen::Ref::vec_value_t>&, size_t, const Eigen::Ref::vec_index_t>&, typename base_t::value_t, typename base_t::value_t, const Eigen::Ref::vec_value_t>&) [with ConstraintType = adelie_core::constraint::ConstraintBase; MatrixType = adelie_core::matrix::MatrixCovBase; ValueType = double; IndexType = int; BoolType = int; SafeBoolType = int; matrix_t = adelie_core::matrix::MatrixCovBase; typename adelie_core::state::StateBase::vec_value_t = Eigen::Array; typename Eigen::internal::conditional::vec_value_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::dyn_vec_constraint_t = std::vector*, std::allocator*> >; base_t = adelie_core::state::StateBase, double, int, int, int>; typename adelie_core::state::StateBase::vec_index_t = Eigen::Array; typename Eigen::internal::conditional::vec_index_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>; typename base_t::value_t = double; size_t = long unsigned int; std::string = std::__cxx11::basic_string; typename adelie_core::state::StateBase::vec_bool_t = Eigen::Array; typename Eigen::internal::conditional::vec_bool_t::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::InnerStride<1>]’ 235 | gaussian::cov::update_screen_derived(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ rcpp_state.h:41:19: required from here 41 | using base_t::base_t; | ^~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘Eigen::internal::selfadjoint_product_impl, -1, -1, false>, 17, false, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const>, 0, true>::run, -1, 1, false> >(Eigen::Block, -1, 1, false>&, Eigen::Block, -1, -1, false> const&, Eigen::CwiseBinaryOp, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Block, -1, 1, true>, -1, 1, false> const> const&, double const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result_66’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double *’ to ‘Eigen::internal::selfadjoint_matrix_vector_product::run(long, double const*, long, double const*, double*, double)’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/local/lib/R/library/RcppEigen/include/Eigen/Core:341: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘Eigen::internal::trmv_selector<6, 1>::run, -1, -1, false> const, -1, -1, false> const>, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const>, Eigen::Transpose, 1, -1, true>, 1, -1, false> > >(Eigen::Transpose, -1, -1, false> const, -1, -1, false> const> const&, Eigen::Transpose, Eigen::CwiseNullaryOp, Eigen::Matrix const> const, Eigen::Transpose, -1, -1, false> const, -1, 1, true> const, -1, 1, false> const> const> const> const&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >&, Eigen::Transpose, 1, -1, true>, 1, -1, false> >::Scalar const&)void [clone .isra.0]’: /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result_43’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /usr/local/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double *’ to ‘Eigen::internal::triangular_matrix_vector_product::run(long, long, double const*, long, double const*, long, double*, long, double const&)’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++ -std=gnu++17 -shared -L/usr/lib64/R/lib -Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -o adelie.so RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_matrix_utils_blas.o rcpp_solver.o rcpp_state.o -fopenmp -L/usr/lib64/R/lib -lR installing to /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT/usr/local/lib/R/library/00LOCK-adelie/00new/adelie/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘adelie’ finding HTML links ... done cv.grpnet html gaussian_cov html glm.binomial html glm.cox html glm.gaussian html glm.multigaussian html glm.multinomial html glm.poisson html grpnet html io.snp_phased_ancestry html io.snp_unphased html matrix.block_diag html matrix.concatenate html matrix.dense html matrix.eager_cov html matrix.interaction html matrix.kronecker_eye html matrix.lazy_cov html matrix.one_hot html matrix.snp_phased_ancestry html matrix.snp_unphased html matrix.sparse html matrix.standardize html matrix.subset html plot.cv.grpnet html plot.grpnet html predict.cv.grpnet html predict.grpnet html print.cv.grpnet html print.grpnet html set_configs html ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (adelie) + test -d adelie/src + cd adelie/src + rm -f RcppExports.o rcpp_configs.o rcpp_constraint.o rcpp_glm.o rcpp_io.o rcpp_matrix.o rcpp_matrix_utils_blas.o rcpp_solver.o rcpp_state.o adelie.so + rm -f /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT/usr/local/lib/R/library/R.css + find /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT/usr/local/lib/R/library -type f -exec sed -i s@/builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT@@g '{}' ';' + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.0.2-1.fc42.copr7975920 --unique-debug-suffix -1.0.2-1.fc42.copr7975920.x86_64 --unique-debug-src-base R-CRAN-adelie-1.0.2-1.fc42.copr7975920.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/adelie find-debuginfo: starting Extracting debug info from 1 files DWARF-compressing 1 files sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/R-CRAN-adelie-1.0.2-1.fc42.copr7975920.x86_64 1131 blocks find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j4 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j4 /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT Scanned 61 directories and 273 files, processed 67 inodes, 0 modified (0 replaced + 0 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/SPECPARTS/rpm-debuginfo.specpart Processing files: R-CRAN-adelie-1.0.2-1.fc42.copr7975920.x86_64 Provides: R-CRAN-adelie = 1.0.2-1.fc42.copr7975920 R-CRAN-adelie(x86-64) = 1.0.2-1.fc42.copr7975920 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libR.so()(64bit) libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(GOMP_4.5)(64bit) libgomp.so.1(OMP_1.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.15)(64bit) libstdc++.so.6(CXXABI_1.3.5)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.11)(64bit) libstdc++.so.6(GLIBCXX_3.4.14)(64bit) libstdc++.so.6(GLIBCXX_3.4.18)(64bit) libstdc++.so.6(GLIBCXX_3.4.19)(64bit) libstdc++.so.6(GLIBCXX_3.4.20)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.26)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) libstdc++.so.6(GLIBCXX_3.4.32)(64bit) libstdc++.so.6(GLIBCXX_3.4.9)(64bit) rtld(GNU_HASH) Processing files: R-CRAN-adelie-debugsource-1.0.2-1.fc42.copr7975920.x86_64 Provides: R-CRAN-adelie-debugsource = 1.0.2-1.fc42.copr7975920 R-CRAN-adelie-debugsource(x86-64) = 1.0.2-1.fc42.copr7975920 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: R-CRAN-adelie-debuginfo-1.0.2-1.fc42.copr7975920.x86_64 Provides: R-CRAN-adelie-debuginfo = 1.0.2-1.fc42.copr7975920 R-CRAN-adelie-debuginfo(x86-64) = 1.0.2-1.fc42.copr7975920 debuginfo(build-id) = 663337e0ebed5cf52bf2fa4b07040524d8b1a981 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: R-CRAN-adelie-debugsource(x86-64) = 1.0.2-1.fc42.copr7975920 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build/BUILDROOT Wrote: /builddir/build/RPMS/R-CRAN-adelie-debugsource-1.0.2-1.fc42.copr7975920.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-adelie-1.0.2-1.fc42.copr7975920.x86_64.rpm Wrote: /builddir/build/RPMS/R-CRAN-adelie-debuginfo-1.0.2-1.fc42.copr7975920.x86_64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.zSJWuA + umask 022 + cd /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + test -d /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + rm -rf /builddir/build/BUILD/R-CRAN-adelie-1.0.2-build + RPM_EC=0 ++ jobs -p + exit 0 RPM build warnings: %source_date_epoch_from_changelog is set, but %changelog has no entries to take a date from Finish: rpmbuild R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm Finish: build phase for R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1725413460.952011/root/var/log/dnf5.log INFO: Done(/var/lib/copr-rpmbuild/results/R-CRAN-adelie-1.0.2-1.fc42.copr7975920.src.rpm) Config(child) 4 minutes 54 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "R-CRAN-adelie-debugsource", "epoch": null, "version": "1.0.2", "release": "1.fc42.copr7975920", "arch": "x86_64" }, { "name": "R-CRAN-adelie-debuginfo", "epoch": null, "version": "1.0.2", "release": "1.fc42.copr7975920", "arch": "x86_64" }, { "name": "R-CRAN-adelie", "epoch": null, "version": "1.0.2", "release": "1.fc42.copr7975920", "arch": "src" }, { "name": "R-CRAN-adelie", "epoch": null, "version": "1.0.2", "release": "1.fc42.copr7975920", "arch": "x86_64" } ] } RPMResults finished